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vision, multimodal learning, medical/industrial imaging, and related AI4X topics. Design, implement, train, and evaluate deep learning models and research prototypes using Python/PyTorch and related tools
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knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages such as C/C++ and Python. Demonstrated ability
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Proficiency in Cadence Proficiency in Python and Matlab Experience in implementing algorithms for machine learning Good written and oral communication skills We regret to inform you that only shortlisted
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 19 days ago
programming experience related to finite element analysis and scientific computing in Python. Field of Science: Aeronautics Advisors: George Weber [email protected] (215) 266-7062 Questions about this
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protocols. Eagerness to learn and contribute meaningfully to ongoing research initiatives. Excellent teamwork and interpersonal communication skills. Familiarity with programming using MATLAB and Python
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ExperienceNone Additional Information Eligibility criteria PhD in Earth/environmental sciences/remote sensing with applications in AI Linux, Python, good command of English Additional comments Nothing to mention
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spectroscopy measurement at state-of-the-art large-scale facilities. You will perform quantitative data analysis using programming languages such as Python. You will perform preliminary calculations to interpret
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-Prime, Presentation, PsychoPy, or other software. Experience in general computing such as working with the UNIX command line (Mac/Linux), and programming in MATLAB, R, Python, or other language
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information governance and output-checking rules. Fluency in SQL and Python for cohort definition, phenotyping and model development, with sound judgement about evaluation: what a model is being asked to do
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statistical analyses more robust. We are looking for a research assistant to contribute to the development of bamojax(link is external) (Bayesian modelling in JAX), our open-source Python toolbox