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systems or autonomous AI frameworks · Solid foundation in computational biology · Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX) · Strong analytical, problem solving, and communication
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and modelers to use the optical constants in the analysis of observational data from, e.g., Hubble, Spitzer, JWST. Candidates are expected to be proficient doing data reduction and analysis using Python
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work environment. Experience in and understanding of the challenges facing higher education organisations Experience in Python A self-starting attitude Serverless computing with AWS is key to our
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neurodegenerative mouse models Experience in developing image analysis workflows (Python, MATLAB, R, Imaris) Experience in histologic post hoc brain tissue analysis (IF, IHC, RNAScope) Experience in antibody
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de programmation scientifique (R, Python ou équivalent) ; • Manipulation de jeux de données volumineux et éparses ; • Intérêt pour l'analyse de grandes bases de données environnementales et
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conocimientos de programación en lenguaje C/C++ y Python para el desarrollo de componentes de software seguros. --- We are looking for motivated individuals willing to research the integration of quantum
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recruitment, screening, consent, scheduling, regulatory compliance (GCP/IRB/FDA), and study documentation. Data management, preprocess/analyze large-scale neural data using Python/MATLAB; contribute
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. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis
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to interpret data trends Proficiency in Microsoft Excel or Google Sheets (e.g., sorting, formulas, basic visualization) Familiarity with data analysis tools (R, SPSS, Python, or similar) Ability to synthesize
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in collaborative research projects. Publish manuscripts in peer-reviewed journals. Experience with mass spectrometry (especially DIA) and proteomics applications. Strong programming skills (Python