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scientific programming, preferably Python or C/C++ • Strong written and oral communication skills Desired Qualifications: • Familiar with mathematical and coding aspects of neural networks • Contributions
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reflecting individual accomplishments. You are proficient in Python and/or R; experience with shell scripting (Bash) and AI frameworks. You have a strong command of scientific English, both spoken and written
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, Python, SAS, or similar) fluent in English (written and spoken) proven grant-writing success and ability to secure funding strong academic track record (peer-reviewed publications, conference presentations
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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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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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. 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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/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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language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Machine
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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