ASSOCIATE PROFESSOR IN MEDICAL PROTEIN SCIENCE: http://www.stillinger.aau.dk/vis-stilling/?vacancy=908578
ASSOCIATE OR ASSISTANT PROFESSOR WITHIN MEDICAL BIOTECHNOLOGY WITH FOCUS ON CELL BIOLOGY AND CELL CULTURE: http://www.stillinger.aau.dk/vis-stilling/?vacancy=908596
https://www.fimm.fi/en/open-position/bioinformatician-2-positions
Institute for Molecular Medicine Finland (FIMM) Technology Centre is a biomedical service and infrastructure facility and the leading sequencing infrastructure in Finland. It provides and develops sequencing services for national and international research groups, hospitals, and biotechnology companies and employs nearly 50 technology experts from diverse educational backgrounds. To fortify our next-generation sequencing team consisted of ten skilful genomics experts, six health data specialists, and three bioinformaticians, we are seeking one junior and one senior bioinformatician to provide user consultation and develop data-analysis services for the analysis of next-generation sequencing and especially for single-cell genomics data.
The preferred candidates have background in computational genomics, bioinformatics, computer science, or biosciences. They are familiar with major programming languages (Python, Perl, Java, R, and C) and are proficient in at least one of them. Experience of Linux, analysis of biomedical data, experimental design, and software development are also essential. Candidates must be fluent in written and spoken English and should have excellent presentation skills and an enthusiasm towards customer service. They must have basic knowledge on genomics and/or transcriptomics and be able to co-operate with collaborators with varying level of expertise on bioinformatics. Previous working experience in a service laboratory and an established ability to set up data-analysis services are an advantage.
The positions are affiliated with and are funded Helsinki Institute for Life Sciences (HiLIFE). They are initially for two years with possibility of extension, depending on performance. The salaries will be based on the University salary scheme, composed of both task related and personal performance components. The posts will include a trial period of four months. The research will take place at the Meilahti medical campus, 5 km west from the center of Helsinki.
To apply for the position, please send your motivation letter and CV, including list of publications and contact information for two references, through the University of Helsinki electronic recruitment system by clicking on the Apply link. Internal applicants (i.e., current employees of the University of Helsinki) please submit your applications through the SAP HR portal. Please apply no later than June 15th, 2017. The employment may begin as soon as possible or as agreed.
For further information please visit our website at http://www.fimm.fi and/or contact Dr. Mattila (pirkko.mattila@helsinki.fi) or Dr. Kankainen (matti.kankainen@helsinki.fi).
This information is also available in pdf.
Postdoctoral positions are available in the laboratory of Smita Saxena in the Department of Neurology, University hospital, University of Bern, Switzerland. The newly established Center for Experimental Neurology in the Department of Neurology has state-of-the-art labs and equipment and fosters a highly vibrant scientific exchange between clinical and experimental research groups. We are seeking postdoctoral candidates who are passionate about deciphering the role of dendrites and synapses in promoting neurodegeneration. The project, funded by the European Research Council, strives to understand the relationship between early deficits in neuronal circuits and the pathogenic alterations within disease vulnerable
We are seeking postdoctoral candidates who are passionate about deciphering the role of dendrites and synapses in promoting neurodegeneration. The project, funded by the European Research Council, strives to understand the relationship between early deficits in neuronal circuits and the pathogenic alterations within disease vulnerable neurons. The main research interests of our laboratory focus on the mechanistic and therapeutic studies of neurodegenerative diseases such as Motor neuron diseases and Spinocerebellar ataxia. Our multidisciplinary approach uses transgenic disease models and combines state-of-the-art small cell number proteomics, transcriptomics, calcium imaging, viral mediated gene expression, neuronal tracing, chemogenetics and behavior paradigms to elucidate neuron specific alterations driving disease in defined population of neurons (Ruegsegger et al., Neuron 2016, Ruegsegger et al., Acta Neuropathologica 2016, Filezac de L’Etang et al., Nature Neuroscience 2015 and Saxena et al., Neuron 2013). The successful applicant should have a PhD degree in biological sciences with an excellent track record, a strong background in neurosciences, a broad working knowledge of mouse genetics, stereotactic surgeries in rodents, molecular and cellular biology, confocal, 2-photon imaging, and
The successful applicant should have a PhD degree in biological sciences with an excellent track record, a strong background in neurosciences, a broad working knowledge of mouse genetics, stereotactic surgeries in rodents, molecular and cellular biology, confocal, 2-photon imaging, and behavioral assays. The candidate is expected to work independently in a small team, design experiments and perform research. Prior experience in cerebellum or spinal cord research is a plus. Good communication skills in English are required. Starting date is negotiable but
Good communication skills in English are required. Starting date is negotiable but preferred start is in fall. Interested candidates should submit a statement of research experience and career goals, a current CV and the names of three references to smita.saxena@izb.unibe.ch
The Department of Biosciences, Department of Computer Science and Institute of Biotechnology, at the University of Helsinki, invite applications for a three year
POSTDOCTORAL RESEARCHER POSITION in COMPUTATIONAL GENOMICS and EVOLUTION
Evolution connects all living organisms and is the common thread across all of biology. Organisms evolve to better survive in their environments and to adapt to new challenges. This leads to complex dynamical scenarios, which are presently understood only in a limited way. Understanding evolution is one of the most intriguing scientific topics due to its ability to unify often seemingly disjoint fields of biology. Furthermore, quantitative understanding of evolution is a prerequisite to successfully combat pathogens, pests and loss of biodiversity. For instance, identifying genetic variants which contribute to the emergence of drug resistance, a question with importance for the treatment of pathogens, and of cancer, is a challenge of understanding the evolution of these populations. Big Data provide new opportunities to study in detail how populations evolve. However, data alone, without theory and scalable algorithms to extract information from it, is not sufficient to make progress. The Mustonen Group develops computational algorithms and theory to better understand evolution. The work is cross-disciplinary and we have a record of successful research collaborations working together with clinicians and experimentalists.
We are now seeking a highly motivated researcher with strong quantitative skills to work on one of the following themes:
• Theory and methods for evolutionary prediction and control (1,2)
• Algorithms for biomedical applications of Big Data (3,4)
• Characterisation of the emergence of drug resistance (5)
The ideal candidate will have extensive experience in genomic data analyses, machine learning and evolution. However, as our research is cross-disciplinary it is possible to contribute coming from several different fields. Thus, we welcome applications from exceptional candidates, with a quantitative background, from other fields. However, it is essential to have a genuine interest in Biology and Evolution. It is also important for the candidate to have strong programming skills and experience in working with large data sets.
Knowledge, skills and experience required: E = Essential, D = Desirable
• Genuine interest in Biology and Evolution (E)
• PhD in a relevant subject area (Physics, Mathematics, Computer Science, Engineering, Statistics, Computational Biology, Bioinformatics, Genetics, Molecular Biology) (E)
• Ability to develop novel quantitative models and read mathematical literature (E)
• Experience in formulating statistical models and applying them to real data (D)
• Full working proficiency in a scripting language (e.g. Python, R, Perl) and UNIX/Linux (E), and in a compiled language (e.g. C, C++) and cluster based computing (D)
• Ability to work independently, organise workload, and communicate ideas and results (E)
• Strong publishing record (E)
• Knowledge of genomics and molecular biology (D)
• Proven record in problem solving, data analysis and generation of novel ideas (D)
Please submit your application as a single pdf file which includes:
• CV and list of publications
• a copy of your transcript records (i.e. printout of the courses completed during MSc/PhD)
• contact details of two references (e.g. MSc/PhD thesis supervisors)
• a cover letter with a description of your research interests
The postdoctoral researcher will be employed on a full-time, fixed term, three-year contract with a four-month probation. The salary will be based on level 5 of the demands level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance with the overall salary amounting to approximately 3 000-3 500 €/month (gross). All standard pension benefits and occupational health care are provided for university employees.
To apply, please submit your application using the University of Helsinki electronic recruitment system by clicking on Apply for job. Internal applicants (i.e. current employees of the University of Helsinki) must submit their applications through the SAP HR portal. Apply at latest on 26th of May 2017, start date for the position is negotiable.
For more information, please contact Prof. Ville Mustonen (v.mustonen@helsinki.fi).
1. Lässig M, Mustonen V, Walczak AM (2017) Predicting Evolution. Nature Eco Evol 1:0077.
2. Fischer A, Vázquez-García I, Mustonen V (2015) The value of monitoring to control evolving populations. Proceedings of the National Academy of Sciences 112(4):1007–1012.
3. McKerrell T, et al. (2016) Development and validation of a comprehensive genomic diagnostic tool for myeloid malignancies. Blood. doi:10.1182/blood-2015-11-683334.
4. Fischer A, Vázquez-García I, Illingworth CJR, Mustonen V (2014) High-definition reconstruction of clonal composition in cancer. Cell Reports 7(5):1740–1752.
5. Vázquez-García I, Salinas F, Li J, Fischer A, Barré B, Hallin J, Bergström A, Alonso-Perez E, Warringer J, Mustonen V, Liti G Background-dependent effects of selection on subclonal heterogeneity. http://dx.doi.org/10.1101/039859
Apply at latest 28.05.2017
Sunday, May 28, 2017
The Department of Biosciences, Department of Computer Science and Institute of Biotechnology, at the University of Helsinki, invite applications for a four year
DOCTORAL STUDENT POSITION in COMPUTATIONAL GENOMICS and EVOLUTION
Evolution connects all living organisms and is the common thread across all of biology. Organisms evolve to better survive in their environments and to adapt to new challenges. This leads to complex dynamical scenarios, which are presently understood only in a limited way. Understanding evolution is one of the most intriguing scientific topics due to its ability to unify often seemingly disjoint fields of biology. Furthermore, quantitative understanding of evolution is a prerequisite to successfully combat pathogens, pests and loss of biodiversity. For instance, identifying genetic variants which contribute to the emergence of drug resistance, a question with importance for the treatment of pathogens, and of cancer, is a challenge of understanding the evolution of these populations. Big Data provide new opportunities to study in detail how populations evolve. However, data alone, without theory and scalable algorithms to extract information from it, is not sufficient to make progress. The Mustonen Group develops computational algorithms and theory to better understand evolution. The work is cross-disciplinary and we have a record of successful research collaborations working together with clinicians and experimentalists.
We are now seeking a highly motivated student with strong quantitative skills to pursue a PhD on one of the following themes:
• Theory and methods for evolutionary prediction and control (1,2)
• Algorithms for biomedical applications of Big Data (3,4)
• Characterisation of the emergence of drug resistance (5)
The ideal candidate will have a quantitative background, genuine interest in Biology and Evolution, programming skills and some experience in working with large data sets.
Requirements for the Ph.D. student are:
• M.Sc. in a relevant subject area (Physics, Mathematics, Computer Science, Engineering, Statistics, Computational Biology, Bioinformatics, Genetics, Molecular Biology)
• Proven academic ability
• Strong motivation, drive and curiosity
Please submit your application as a single pdf file which includes:
• CV with possible publications listed
• a copy of your transcript records (i.e. printout of the courses completed during MSc)
• contact details of two references (e.g. MSc thesis supervisors)
• a cover letter with a description of your research interests
The salary for four years (3-month probation period) is based on levels 2-4 of the job requirement scheme for teaching and research personnel in the salary system of Finnish universities (2100-3300€/month (gross)). The appointee shall be paid a salary component based on personal work performance.
To apply, please submit your application using the University of Helsinki electronic recruitment system by clicking on Apply for job. Internal applicants (i.e. current employees of the University of Helsinki) must submit their applications through the SAP HR portal. Apply at latest on 28th of May 2017, the start date is negotiable.
For more information, please contact Prof. Ville Mustonen (v.mustonen@helsinki.fi).
1. Lässig M, Mustonen V, Walczak AM (2017) Predicting Evolution. Nature Eco Evol 1:0077.
2. Fischer A, Vázquez-García I, Mustonen V (2015) The value of monitoring to control evolving populations. Proceedings of the National Academy of Sciences 112(4):1007–1012.
3. McKerrell T, et al. (2016) Development and validation of a comprehensive genomic diagnostic tool for myeloid malignancies. Blood. doi:10.1182/blood-2015-11-683334.
4. Fischer A, Vázquez-García I, Illingworth CJR, Mustonen V (2014) High-definition reconstruction of clonal composition in cancer. Cell Reports 7(5):1740–1752.
5. Vázquez-García I, Salinas F, Li J, Fischer A, Barré B, Hallin J, Bergström A, Alonso-Perez E, Warringer J, Mustonen V, Liti G Background-dependent effects of selection on subclonal heterogeneity. http://dx.doi.org/10.1101/039859
Apply at latest 28.05.2017
Sunday, May 28, 2017