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. Knowledge and Professional Experience: DFT-based methods. Scientific programming in Fortran, in MPI/OpenMP-parallelised codes. Knowledge of other languages (in particular python) and of GPU offloading will be
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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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). 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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limited to a record of scholarly publications Experience in programming and code development (python, R) Proven ability to publish manuscripts in peer-reviewed scientific journals Fluent English, both
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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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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
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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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/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