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Field
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Job description: DESY The CMS Quantum Computing group develops generative machine learning models for detector simulations, specifically the simulation of showers in calorimeters: Proof-of-principle
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and machine learning”, UMO-2022/46/E/ST4/00377, Rafał Szabla Position description: The Faculty of Chemistry of the Wrocław University of Science and Technology is looking for a candidate for the
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. Where to apply E-mail lorraine.dubuis@unige.ch Requirements Research FieldPsychological sciencesEducation LevelPhD or equivalent Skills/Qualifications Desired profile: PhD in psychology, neuroscience
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! Education · PhD degree with demonstrated theoretical and practical knowledge in Materials science and in electroactive ceramics or polymers Experience and skills · Excellent knowledge in
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Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
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neurovascular research in close collaboration with clinical teams. Main responsibilities and duties: Coordinate and manage activities within the neurovascular research laboratory Provide support to PhD students
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at international conferences. Your profile PhD (degree or almost completed) in Physics, Applied Mathematics, Complex System or a related field. Strong background in mathematical modeling, machine learning
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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to take part in the supervision of PhD students and the teaching activities of the research group. Your network and team Currently, our research group consists of 1 professor, 1 lecturer, 1 staff scientist
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) to investigate the motivations for using and learning Greek, and c) to retrace how individuals and communities in the West learned and accessed Greek knowledge. The project team will create a four-part database