19 computer-science-programming-languages "CNPEM" Postdoctoral positions at SciLifeLab
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Join SciLifeLab PULSE (Program for future leaders in Life Science) to move your research career forward. Why PULSE? Empowering Diversity in Science: PULSE is committed to fostering diversity and
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programming languages (e.g., Python, R). Experience working in a LINUX/UNIX environment. An excellent molecular biology skillset. Experience with NGS library preparation supported by a strong publication record
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evidenced by recent publications in e.g. Nature Biotechnology – and also provides a stimulating environment for learning computational biology. The successful applicant will in furthermore receive training
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Umeå University, Faculty Office of Medicine Together with The Laboratory for Molecular Infection Medicine Sweden (MIMS) and the SciLifeLab & Wallenberg National Program for Data-Driven Life Science
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publications in relevant research area. Candidates must be fluent in spoken and written English and highly motivated. Candidates are expected to pursue and plan research independently, but also to function in a
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• Computational Science or Data Science • Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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Clinical Translational Postdoc Program with the purpose of promoting interaction between the SciLifeLab research environment and clinical research environments at Karolinska Institutet. The postdocs
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biochemistry, NMR or computational aspects of nucleic acid or structural biology, but not required. Experience with programming is of advantage, as is using advanced data analysis tools. We are looking for a
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within