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methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages (e.g. R, Python) and an
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Integrate multi-omics data with clinical, cognitive, and imaging phenotypes in longitudinal cohorts Develop and apply statistical and machine-learning models (e.g., mixed-effects models, survival analysis
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of the following methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages
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, machine learning, multiscale and multiphysics simulation, computational anatomy, medical image analysis, and integration of wearables and biosignal processing, applied to conditions ranging from cardiac
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. Additional duties may include contributing to writing grant proposals; working with large datasets; analyzing data for accuracy and data integrity; developing questionnaires for follow-up studies
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machine learning methods are a plus. Qualifications: PhD in neuroscience, or related fields DeepLabCut or similar methods Demonstrated hands-on experience with 2-photon imaging techniques Experience
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CANDIDATES ONLY About Us The applicant will join the Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. We are a highly collaborative
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translation in mind. Our partners are the Medical University of Vienna, the St. Anna Children’s Cancer Research Institute (CCRI) and AITHYRA, the newly founded Research Institute for Biomedical AI
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27 Feb 2026 Job Information Organisation/Company Leiden University Research Field Juridical sciences » Health law Juridical sciences » Social law Researcher Profile Recognised Researcher (R2
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-Doctoral Research Associate. Preference may be given to candidates with active interests in one or more of the following areas: colour vision, machine learning, computer vision, and virtual reality. The core