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, Physics, Electrical Engineering, Mechanical Engineering, or related field Knowledgeable in machine learning, deep learning, python, PyTorch, and programming in general. Knowledgeable in transformers and
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. Proficiency in Python and experience with data processing and machine learning libraries. Knowledge of machine learning, statistical analysis and experimental evaluation. Hands-on research or software
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nonlinear systems and control theory/state-of-the-art machine learning systems (diffusion, transformers, etc.)/robotics. Good written and oral communication skills Proficiency in programing (e.g., Python) and
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Engineering Energy Engineering Process Engineering Or a closely related discipline A background in thermodynamics, energy systems, process modelling, programming, or simulation tools such as MATLAB, Python
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or Python) is a plus but not required Bowling Green State University is an equal opportunity employer. The University is committed to maintaining an employment and educational environment that is free from
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machine learning methods • Proficiency in transport planning software such as EMME or PTV Visum. • Programming expertise in at least one language, e.g., Python, Java, or C++. • Strong written and
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 5 days ago
—capabilities that lie beyond conventional approaches. Your primarygoal within the project will be to transform a prototype software for differential network analysis into a professional Python package. This will
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Generate and manage participant GUIDs across studies and maintain the CCBH GUID Portal linking GUID, study ID, REDCap record ID and visit status Run Python pipelines that pull REDCap and study data
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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis
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manuscripts for international peer-reviewed journals and collaborate effectively with international research partners. Programing and data analysis skills (e.g., MATLAB, Python, R). Prior experience in in-vivo