5,304 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" Postdoctoral research jobs
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automated configuration mechanisms based on fingerprinting and machine learning to ensure traffic analysis remains faithful to the behavior of the monitored machines. Finally, you will validate your solutions
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and collaborative environments. Required Education: PhD from an accredited college or university in Educational Technology, Learning Technologies, Human-Computer Interaction, or a related field
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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
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located in an innovative environment, at the cutting edge of future technologies, in strategic application sectors. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5270-SYLGON-070/Default.aspx
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postdoctoral students. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9001-FABOEH-006/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research
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than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https://www.fieldrobotics.eu/ ) based at Department
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T cell biology or cancer immunology, and programming skills (R, Python) for data analysis. Please also read recent manuscripts published in the last two years 2024 Nature: (https://www.nature.com
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& Responsibilities: Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Lab website: https://sites.wustl.edu/ushikilab/ . Â Â Trains under
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will involve measurements at synchrotron radiation facilities and visits to collaborating research groups. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7265-JULORD-012/Default.aspx
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). - Familiarity with machine learning principles and generative/classification models (PyTorch Lightning, torch, scikit-learn, etc.), as well as data/model analysis methods (PCA, t-SNE, etc.). - Proficiency in