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Bachelor Degree or higher in one of the following disciplines: Physics, Engineering, Mathematics. Skills: • Main: Solid programming skills with experience in Python/Matlab/ • Bonus: Imaging
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
desire to learn new (technical) skills; and proficiency with Python, Javascript, XML, CSS, and LaTeX. PREFERRED: Experience creating plots and 3D interactive images in Mathematica, MATLAB, or python; ties
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cognitive science, cognitive psychology, developmental psychology, or ethology is expected. Proficiency in a programming language (e.g., Python, Java), as well as in data analysis (e.g., R, MATLAB), will be
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activities is a plus Working knowledge of Python or R for data handling and figures; familiarity with git is a plus Familiarity with climate mitigation scenarios and the IPCC literature is a plus Excellent
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. The candidate will lead the C++ / Unreal Engine software engineering efforts, ensuring sub-millisecond data synchronization between simulation frameworks and external Python-based AI models hosted at partner
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surface science Prior experience with piezoelectric- or ferroelectric nitrides is an advantage Knowledge of PVD process development and pulsed sputtering is an advantage Proficiency in Python programming
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• Possess a PhD in Computer Science, Software Engineering, Information Systems, or a related field. • Strong full-stack development skills (e.g., Node.js, React/Vue, Python backend frameworks
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, and skills in C, Java or Python/SageMath are a plus. Good writing and communication skills are requested, together with the ability to work independently as well as in a team. A good English level is
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extraction, or machine learning; or o Ecology, evolutionary biology, biodiversity informatics, or similar, with a focus on large-scale, quantitative research. · Strong programming skills in Python and
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STATA, R, SAS, PySpark and Python Previous experience in the management and analysis of linked health data, the production of statistical analysis plans and the use of GitHub Demonstrated ability