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to see the following publications for some context: https://pubs.rsc.org/en/content/articlehtml/2024/gc/d4gc00765d https://pubs.rsc.org/en/content/articlehtml/2024/gc/d4gc04533e https
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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Polarization Lab for scientific research on human-AI interaction on social media. The ideal candidate will possess advanced knowledge of R and/or Python software, have experience performing statistical analyses
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codes is essential. Experience with modelling conjugated organic molecular-based systems (e.g. electronic structure, charge transport) would be particularly highly valued. Experience in coding with Python
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, ideally with experience in generative models, reinforcement learning, or high-dimensional optimization. Programming proficiency in languages such as Python. Ability to work both independently and in a team
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advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
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research in social, affective, and health neuroscience. English is the working language of the team, but speaking French or an interest in learning French will be advantageous. Where to apply Website https
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
epidemiologic methods, causal inference, and statistics. Proficiency required in statistical software (e.g., R, SAS, Python). Preferred Qualifications, Competencies, and Experience - Special Physical/Mental
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. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to machine learning. Ph.D. in Materials Science, Physics