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, MA, USA, as well as pharmaceutical industry R&D experts around the world. Our work has a real relevance, and we work in the cross-roads of academia, leading clinical institutions, and pharmaceutical
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microbiology, computer science, or bioinformatics (or a related field). Prior experience in R and coding is expected. Experience in analysing high-throughput sequencing data is a bonus. Excellent communication
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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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statistical modelling, Solid skills in computer programming for data science (e.g. R, Python), Experience with real-world data analysis tasks, Good communication skills in English, both verbal and written
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Researcher should have a PhD or a master’s degree in microbiology, computer science, or bioinformatics (or a related field). Prior experience in R and coding is expected. Experience in analysing high
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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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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance
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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