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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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methods (at minimum, linear regression (OLS) and logistic regression, as well as familiarity with some advanced methods). Proficiency with statistical software (e.g. R, Stata). Ability to work both
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to implement data analytics processes and algorithms in scientific programming languages (e.g., Python, R). The ability to collaborate within a multidisciplinary research group. Independent work, collaboration
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to implement data analytics workflows and algorithms using scientific programming languages (preferably Python but others like R, Julia or Rust can also do). Ability to cooperate with a multidisciplinary
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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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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