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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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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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equipment - with minimal supervision (e.g., Python, Arduino/Raspberry Pi) - Experience designing and building equipment or devices (laboratory instrumentation preferred) - Hands
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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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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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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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. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis
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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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recruitment, screening, consent, scheduling, regulatory compliance (GCP/IRB/FDA), and study documentation. Data management, preprocess/analyze large-scale neural data using Python/MATLAB; contribute