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Field
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skills and motivation to implement algorithms and test them in practice on large-scale problems. Programming Skills: You are proficient in at least one scientific programming language (such as Python
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will hold an MSc in Earth Sciences, Geology, Physics, or related field by the time the position starts. Good quantitative skills and programming experience (Python/MATLAB/Julia) are essential. Ideally
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sciences, data science, and computational modeling. Experience in at least one of the following areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging
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, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD
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scientific questions Proficient in scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM) Basic knowledge of scientific data analysis and statistical evaluation Good command
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data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics. Familiarity with simulation environments
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of medical imaging technology and physics. Specific proficiency in relevant software and programming languages, e.g. Matlab and Python. Basis for assessment and selection In accordance with the provisions
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(e.g. Python, MATLAB or equivalents); Interest in applied thermodynamics, numerical simulation and sustainable energy systems. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7274-SILLAS
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science, phase change phenomena, or micro/nanoscale heat transfer Good data analysis and programming skills (e.g., Python, MATLAB, or similar) Strong motivation, good communication skills, and the ability
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, probabilities, stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python, Julia, or MATLAB