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/job/295231/phd-research-fellow-in-machine-learning-and-statistics Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/295231/phd-research-fellow-in-ma… Requirements Research
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research findings, and contribute to the supervision of PhD and/or Master’s students. Undertake scholarly postgraduate coursework teaching of an exemplary quality, including coordinating units, developing
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also should have deep experience in graduate-level teaching and student advising, with an ability to foster supportive learning environments for students. The Department of Health Systems, Management and
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; PyTorch, OpenAI.Gym Mathematics: linear algebra, probability and statistics, dynamic programming, reinforcement learning theory, and deep reinforcement learning algorithms. Experiment Design: Familiar with
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Mathematics, or a related field A strong background in image/signal processing, particularly in computer vision. Strong programming skills and experience with at least one deep learning framework e.g
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learn to apply these processes judiciously while maintaining a focus on originality and professional integrity. Candidates should have a relevant Master’s and/or PhD in Digital Arts, Computational Media
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Send your CV along with a motivation letter to chloe.lehoucq@pasteur.fr with benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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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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webpage: https://www.eur.nl/en/erim/erim/journal-list . Your work will also be published as a PhD dissertation. Cooperation To strengthen your international research network and complement your time at RSM
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Essential skills, knowledge and experience: Experience with machine/deep learning development Data-Centric AI Knowledge Notions of cybersecurity and networks are optional Spoken and written English Desirable