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Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique, | Palaiseau, le de France | France | 2 months ago
measurement systems, with in-depth experience in languages like MATLAB, Python, C/C++, and LabVIEW. Basic understanding of electronics and embedded systems. Methodical, rigorous, creative, and challenge
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to work independently and familiarity with recent relevant scientific literature. - programming skills in at least one of the following (LabVIEW, Python, MATLAB or C++). Please ensure you read the Job
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Programming skills (Matlab or Python) Good command of English (French is not required) Proven ability to write scientific articles and projects, and to give oral presentations Knowledge: Cognitive neuroscience
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framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++. Demonstrated project experience related to causal inference will be an advantage. Good written
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(PyTorch, JAX or TensorFlow); hands-on knowledge of Matlab is a plus; modern software practices (Git version control, automated tests/CI). Experience with single-cell and/or spatial transcriptomics
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processing, and sensor integration. Strong background in signal processing, computer vision, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record
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machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record in relevant research areas. Excellent communication and teamwork skills. Modes of Work Hybrid
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++, Matlab or ROS would be of benefit. The project involves extensive fieldwork, and candidates should enjoy working outdoors. How to apply Please submit a CV and cover letter with your application
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++, Matlab or ROS would be of benefit. The project involves extensive fieldwork, and candidates should enjoy working outdoors. How to apply Please submit a CV and cover letter with your application
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. Knowledge of Python, C++, Matlab or ROS would be of benefit. The project involves extensive fieldwork, and candidates should enjoy working outdoors. How to apply Please submit a CV and cover letter with your