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Field
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laboratory work (DNA extraction, PCR, sequencing workflows) Bioinformatics and statistical analysis (e.g., R or Python) Biodiversity assessment or ecological community analysis Fieldwork experience in
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geophysics, physics, geoscience, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., MATLAB, Python, C/C++) Advanced knowledge
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 17 days ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image
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. The candidate should ideally have experience or interest in one or several of the following areas: A solid foundation in programming and system development, particularly using Python and machine learning
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modeling Programming skills in Python and machine learning packages such as PyTorch and TensorFlow Scientific curiosity and critical thinking Ability to work in interdisciplinary environments Motivation
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statistical processing (e.g. R, Python) Knowledge of atmospheric chemistry and/or air quality would be an asset Ability to work independently, scientific rigor, adaptability, teamwork skills, open‑mindedness
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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 | 7 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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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