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/Electrical Engineering, or a related discipline. Experience with programming languages (preferably Python, C/C++). Strong analytical and problem-solving skills; motivated to conduct high-quality research with
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to the development of deep learning methods to predict reaction outcomes and optimal reaction conditions for organic reactions. The work will involve model development using Python and/or other programming languages
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engineering, electrical engineering, data science, or a related field. Skills in embedded systems development, electronics, or IoT (C/C++, Python, Arduino/ESP32, etc.) OR in machine learning and sensor data
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to optimization algorithms Other closely related topics Your profile Master's degree in computer science, physics or a related field Advanced knowledge in the field of Quantum Computing Knowledge of Python Good
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of Python and Matlab will be valued LanguagesENGLISHLevelGood Years of Research ExperienceNone Additional Information Selection process How to apply: Interested candidates must send their applications
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development (required) Data analysis and programming (Python) (required) Experience in microfluidics is highly desirable What We Offer: 4-year fixed-term contract (1 + 3 years, 75% FTE, approx. 39,000 € gross
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mechanics, geosciences, physics, mechanical engineering or related disciplines #programming skills in one or more languages (Matlab, Python, R, C, Fortran) #excellent knowledge of English (written and spoken
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background in biomaterials, soft matter physics, biophysics or active matter physics will be given preference. Experience or knowledge in quantitative imaging and image analysis (MATLAB or Python), machine
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: Essential criteria MSc. in Neuroscience, Physics, Computer Science, or a related field Strong background in computational neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and
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modeling and simulation tools (e.g., MATLAB/Simulink, Python, EES, or equivalent environments). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR8521-MAXPER-005/Candidater.aspx Requirements