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/ Nice to have You have experience with advanced bioinformatic tools (e.g. Python/R, omics data analysis) Education and training A Ph.D. in a relevant field of study and/or candidates with no more than one
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of data such as from Kepler, K2, and TESS Experience with scientific software development, testing and documentation (python-oriented development environments, github, writing of manuals) Experience with
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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
to environmental studies, with experience in the research topic, preferably with an international scope. Data analysis and modelling, handling of statistical software (R software, Python or equivalent). Proved
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studying transcription factors and chromatin (ATAC-seq, RNA-seq) and/or programming skills in languages commonly used in bioinformatics (Python or R, etc) are highly encouraged. Previous postdoctoral
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). Strong knowledge of applied statistics and proficiency in analysis tools (R, Python, Bioconductor, etc.). Additional Skills: Proficiency in oral and written English communication. Ability to work
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, or engineering Experience in optical microscopy Independent working skills; Strong communication skills in both spoken and written English to work on an interdisciplinary project; Programming skills in Python
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., evolutionary algorithms/strategies, mixed-integer search, multi-objective methods). Strong Python and scientific-computing skills (data handling, experiment tracking, testing, version control). Practical
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: Qualifications required: The candidate must have a PhD's degree in Biophysics, Biology, Bioengineering or equivalent. Expertise in image/data analysis and coding is required (Python, Image J). Experience in cell
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skills Programming skills in Python or Pyraf and in the use of standard pipelines for advanced instrumentation such as JWST, HST or the VLTs. Form of accreditation for both sections: A report of the
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relevant field such as computational biology, bioinformatics, computer science, or a related discipline. Programming proficiency in Python and/or R. Demonstrated experience in analyzing large-scale