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Field
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will lead the programming of R/Python packages for the analysis as well as adapt existing and develop new research methodologies and training materials. You will report research findings in the form
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the programming of R/Python packages for the analysis as well as adapt existing and develop new research methodologies and training materials. You will report research findings in the form of conference
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). Conduct in vivo optical imaging experiments on healthy volunteers and patients; Develop image-analysis pipelines (Python, MATLAB) and model functional optical signals; Optimize and maintain the AO-RSO
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statistical analysis of neuroimaging data. Implement, document, and maintain analysis scripts using Python and/or MATLAB. Integrate cognitive, affective, behavioural, and neuroimaging datasets to test
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transcriptomics data and network-theoretic approaches. - design of a new mathematical method - monitoring and study of publications relevant to the field - programming/coding in Python (Pytorch) - presentation
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engine dynamometer experiments, including instrumentation, data acquisition, and test planning Develop and maintain physics-based modeling tools, including custom solvers written in MATLAB, Python, Fortran
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Posting Description POSTDOCTORAL ASSOCIATE, Chemistry, will lead design and development of an open-source Python-based package for the prediction and analysis of spectroscopic data, primarily
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, Stata, Python, etc.); • Experience with spatial analysis or georeferenced data (considered a plus); • Interest in public security policies. Application Period: January 26 to February 15, 2026 Link
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, background in neuroscience. Candidates should have prior experience with electrophysiology, behavioral analysis, and stereotaxic surgery. Additional experience in computational methods and programming (Python
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learning models (e.g., PCA, PLS-DA, clustering, CNNs) to classify microplastic particles based on spectral and morphological fluorescence data. Develop and maintain modular analysis pipelines in Python