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optimization problems. • Design, coding and implementation of optimization models and algorithms in Python or C++. Familiarity with AMPL and/or Matlab is a plus. • Preparation, presentation, and publication
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breadth and critical thinking is particularly valuable. Prior coding experience in Python or R, with willingness to learn Python-based tools. Demonstrated experience in community engagement and wide
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biomedical or patient-specific streams such as CGM readings, insulin logs, and digital health platforms—is highly valued. The role also requires solid Python development skills and familiarity with tools
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dynamics. Strong Python programming skills with frameworks such as PyTorch, TensorFlow/Keras, and scientific data tools are required, as well as familiarity with large-scale biomedical datasets. A solid
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systems, gas networks, or coupled multi-energy systems Proficient in programming, especially in Python; experience with C/C++ is an advantage Interest in scientific software development, large-scale
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
locomanipulation demonstrations will validate the prototype performance on two applications: outdoor high-speed galloping and flying-object catching. Where to apply Website https://jobs.inria.fr/public/classic/en
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of four years contribute to the department’s educational programmes (0.2 FTE) by teaching tutorials and supervising undergraduate students Where to apply Website https://www.academictransfer.com/en/jobs
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their research projects. Where to apply Website https://www.academictransfer.com/en/jobs/362870/phd-in-entanglement-generation-… Requirements Specific Requirements A master’s degree (or an equivalent university
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Biomedical Engineering New York University Biomechatronics and Intelligent Robotics Lab led by Prof. Hao Su (http://haosu-robotics.github.io) at NYU Tandon School of Engineering is seeking to hire a Part Time
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research assistants and staff to help with participant recruitment. Verify participant data daily to ensure collection is accurate, and process data with MATLAB, Python, and R scripts as needed. Prepare and