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Field
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. Ability to handle large volumes of data and familiarity with household surveys are required, alongside solid data analysis skills (R, Stata, Python, etc.) and familiarity with academic writing and
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include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory
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tracking, and/or visual reality environments Proficiency in Python and scientific computing libraries Familiarity with spike sorting workflows (e.g., Kilosort, SpikeInterface) and neural data quality control
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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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Experience1 - 4 Research FieldGeosciencesYears of Research Experience1 - 4 Additional Information Eligibility criteria Python programming to automate processing chain Handling optical, radar, and lidar imagery
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programming in Python and MATLAB; version control (git) and reproducible workflows. * Experience with MEG/EEG analysis; familiarity with MNE-Python/SPM/FieldTrip; comfort with source reconstruction and signal
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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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. Programming experience is required (Python, R). Strong analytical, organizational, and record-keeping skills Interest in working in a multidisciplinary and multicultural team Willing to collaborate with
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modeling frameworks, particularly global chemical transport models (e.g., GEOS-Chem). • Proficiency in scientific programming (Python required; Fortran/C++ desirable). • Understanding of high-performance