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-mail: marja.mikkola@helsinki.fi HiLIFE/Institute of Biotechnology, University of Helsinki, Finland Selected publications Lan Q, Trela E, Lindström R, Satta JP, Kaczyńska B, Christensen MM, Holzenberger M
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programming skills in Python and/or R, with experience using notebooks (Jupyter, RStudio) and Git Familiarity with workflow managers such as Nextflow or Snakemake is a plus Ability to communicate complex
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assessment and supervise/mentor students Programming skills (e.g. Python, R, MATLAB, C) are seen as a benefit. What we offer The salary of the postdoctoral researcher will be based on level 5 of the demands
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stable isotopes are assets, but not compulsory. Strong data management skills with analytical tools e.g. Matlab, R, Python Fluency in English and excellent writing skills. Working Language is English
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Python, R, and Linux shell scripting. Hands-on experience with HPC environments, workflow management systems, and job schedulers. Expertise in machine learning and its application to biological data
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relevant programming languages (Python, Perl, R). A good understanding of molecular biology, genomics experiments and bioinformatics is expected. Candidates with proven track record in terms of publications
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graduation) in bioinformatics, biochemistry, biotechnology, or related field Experience in mass spectrometry-based data analysis Solid background in statistics and omics data processing Proficiency in R
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from buildings, mobile network data) Database management skills (e.g., PostgreSQL) Statistical expertise related to big data processing and high-performance computing (Python, R) GIS software proficiency
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(such as Python, R, Bash) Documented research experience in at least one of these: large-scale omics data analysis, machine learning and/or deep learning. Candidates with coursework or other relevant
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programming (such as Python, R, Bash) The candidate is required to have documented research experience with large-scale omics data analysis Experience with high performance computing is a strong advantage