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. Skills in numerical tools and programming are desirable (MATLAB, python, C++ etc). Any experiences with engineering design, structural/aerodynamic/aeroelasticity modelling, manufacturing/assembly process
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 17 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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programming (e.g., Python/C++), machine learning frameworks, or robotics software environments such as ROS. You are motivated to work in a multi-disciplinary research environment combining engineering, AI, and
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skills (preferably Python) and experience with machine learning frameworks such as PyTorch or TensorFlow. Strong analytical and problem-solving skills and interest in mathematical research. Experience with
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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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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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(or equivalent) in Computer Science, Engineering, Robotics, or a related field Excellent programming skills in C++ and Python Strong motivation to conduct innovative research at the intersection of machine
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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). Previous experience in ecological modelling is desirable but not essential. Specific Requirements Ability to quickly become proficient in coding using R or Python. An interest in topics relating
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and