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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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and astrocytes, and in vivo work (mouse models). Programming experience (e.g., R, Python, MATLAB) and familiarity with relevant bioinformatics pipelines. Experience with sample processing
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communication skills in English. The following skills will be highly valued: Proficiency in plane wave DFT codes like VASP and Quantum Espresso. Programming experience in Python. Additional Information Benefits
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/transport checks; maintain reproducible pipelines (configs, seeds, provenance). Collaboration and reporting: Work with the PI and team, contribute clean, well-tested Python code, document results, and prepare
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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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., 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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, 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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: 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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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