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Technical skills: Plasma etching and wet etching processes; material characterization (XPS, ellipsometry, AFM, electron microscopy). Additional skills: Written and spoken English; Python programming
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mechanical design, numerical modeling of continuous media and a programming language. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UPR3346-NADMAA-172/Default.aspx Requirements Research
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biomechanical modeling, ideally applied to rigid multibody systems and to the musculoskeletal system. - Python programming (NumPy, SciPy, scikit-learn); interest in statistics, machine learning, model
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Field Mathematics » Algorithms Years of Research Experience None Additional Information Eligibility criteria PhD in operational research with contributions in integer linear programming (modeling
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, computational or systems biology, biology with a strong quantitative focus, computer science, applied mathematics or a closely related field. - Programming experience (e.g. Python, R or similar). Solid knowledge
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to cognitive science; • Experience in the acquisition and processing of neurophysiological data, particularly EEG; • Programming experience, particularly in R and Python; • Proficiency in statistical
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computational biology, machine learning, bioinformatics or a related field. • Proficiency with Python programming. • Proven experience in deep learning (PyTorch or TensorFlow). • Previous experience with
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network calculus is highly appreciated • Proficiency in spoken and written English • Excellent programming skills • Scientific curiosity and desire to work in an interdisciplinary project • Intellectual
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. in atmospheric or climate sciences, with experience in atmospheric modeling, is required. - Proficiency in Linux, Bash, the scripting environment, and scientific programming (Fortran) is required. - An
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• Machine Learning applied to physics — good to confirmed level • Materials thermodynamics — good level • Experimental data analysis (forces, fields, imaging) — good level • Scientific programming (Python