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related discipline, is required. Basic knowledge and initial experience with experimental working methods (e.g. spectroscopy, laser physics) Fundamental programming skills and expertise, e.g., Python, Julia
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development experience, and simulation/prototype development experience in MATLAB, Python, and/or OCTAVE and experiences in system level simulation and testing. Focus on problem solving and self-motivated
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 10 days ago
learning, or transformers is a major advantage. Practical knowledge of Python, clean coding practices, and reproducible ML workflows. Familiarity with protein structure, biophysics, or molecular modeling (MD
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in C/C++ or Python. Knowledge of Linux (ubuntu), ROS 1 and/or 2, Gazebo and/or pybullet, Docker, git, Latex are a plus. Knowledge of SLAM, pose estimation, UWB, IMUs, VIO, LIO are a plus. Hands on
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experiment on a metric-scale concrete wall, using the multi-physics NDE probe integrated onto drone platforms. Expected Results A Python-based multi-physics Maching Learning framework for NDE characterization
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field Has strong interest in methodological research in healthcare Has experience with NLP and/or language modeling techniques Has solid programming skills (e.g., Python) Is motivated to work at the
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the simulation models using appropriate tools (e.g., AnyLogic, Simio, Siemens Plant Sim, Python, MATLAB or other relevant simulation platforms) Evaluate and validate the proposed framework and assess its impact on
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will be an additional advantage Practical programming skills (Python, LabVIEW) English language proficiency at a minimum B2 level Research enthusiasm, patience, and strong motivation for experimental
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(ideally in Python and C++) Excellent mathematical and data analytics skills Ability to work independently and be self-motivated, but also have excellent teamwork skills Experience in medical image
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, machine learning, deep learning, high powered computing (requiring Python etc) or a combination of data science and qualitative methods (e.g., interviews and focus groups). Project themes include (but