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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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requirements include: Candidate should minimally hold a master’s degree in maritime transport, marine technology, computer science, or a related field. Excellent programming skills, such as Python, Matlab, C
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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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Communication skills, Machine learning, artificial intelligence, data science, Experience in geospatial science projects, Experience of Python 3.1x, Python machine learning libraries and Python geospatial
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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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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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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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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