13 python-"https:"-"CIPMM---Systemic-Neurophysiology" Postdoctoral positions in Switzerland
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Excellent critical programming skills in Python Strong command of English (spoken and written) Familiarity with ethical and responsible AI considerations Interest in translating models into applied
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and/or cognitive neuroscience, preferentially in the field of attention and memory Excellent research methods knowledge and skills Solid programming skills (e.g., MATLAB, R, Python) Demonstrated
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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: Experience with analyzing GPS tracks Good data-handling skills and ability to use R (compulsary) and preferably also Python and/or GIS competently Statistical/causal inference knowledge PhD degree in a related
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Vision, or a related field. Proven experience in photogrammetry, image-based 3D reconstruction, and cultural heritage digitization. Solid programming skills (e.g., Python, C++) and familiarity with
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, coverage), publish at top-tier AI/ML venues, and contribute high-quality research code. Application deadline: 30th January 2026 Where to apply Website https://careers.werecruit.io/fr/idiap/offres
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Medicine (https://www.irem.uzh.ch/en.html) combines cutting-edge stem cell and bioengineering research to advance regenerative therapies. Based on bio-inspired principles and novel biomimetic technologies
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models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) We offer Funding: Full position
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-based methods). Strong computational skills (R/Python), workflow automation, and pipeline maintenance in a reproducible framework. We offer A 2-year fixed-term position, with the possibility of extension
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requires a strong background in statistics and experience implementing analyses using scripting languages (e.g., R and Python), as well as experience working with large, complex, and unstructured datasets