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applied to data science (e.g., R, Python, Bash, and SQL, among others) for processing, statistical analysis, and workflow automation. Practical experience in the processing, analysis, and visualization
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programming skills, for example in Python (and/or R), and experience with relevant ML libraries (e.g. PyTorch, TensorFlow or similar). Experience with software/tool development for research, including good
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electronics background, including experience in the analysis and simulation of analog, digital, or mixed-signal circuits, including SPICE and related tools (LTspice, Cadence, MATLAB, Python) Excellent
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experience in the analysis and simulation of analog, digital, or mixed-signal circuits, including SPICE and related tools (LTspice, Cadence, MATLAB, Python) Excellent communication skills and ability to work
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: Financement public/privé IMT - Futur, Ruptures, Impacts 2026 PHD title: Doctorat en Mécnique et Génie Civil PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre
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of Large Language Models Time-Series Data Prediction and Modeling Intelligent Decision-Making and Optimization Algorithms Strong programming skills (proficient in Python, PyTorch/TensorFlow, etc.). Strong
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such as XBeach, SWASH, Watlab or CFD modeling is an asset Programming skills (Python, C++, MATLAB, or Fortran) are required Excellent analytical and problem-solving abilities along with a good team-spirit
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analytical teams and complex projects Demonstrated expertise in enrollment financial modeling and revenue forecasting in higher education settings Technical Competencies Advanced proficiency in Python, SQL
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holding a Bachelor’s degree in Oceanography, Geophysical Sciences, or related fields, who meet the following requirements may apply: a) Knowledge of python – information provided in the CV and/or motivation
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Solid programming skills (e.g., Python, MATLAB, C/C++ or similar) Experience in MR sequence programming is highly desirable Strong interest in translational, across-organ imaging research Ability to work