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unique atmosphere where there is expertise to dig deep into computational modelling, while remaining connected to the experimental side. This interdisciplinary atmosphere has been a main catalyst for many
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positions in Computer Science. Faculty specialising in data science, machine learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and computer graphics are especially
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position at the global vanguard of data science and artificial intelligence. The successful candidate will lead a distinguished faculty and a vibrant community of researchers dedicated to bridging deep
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/A (Logic and Philosophy of Science), research project "Critical History of Deep Learning". DEADLINE: February 2nd 2026, AT 1:00 P.M. CET Where to apply Website https://www.unive.it/data/50068/?id=2026
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, supportive community. https://www.youtube.com/watch?v=ojh884USnWU Supportive, Caring Team at HHH – Learn how we feel supported by our colleagues and coworkers. https://www.youtube.com/watch?v=YVXMTSbFBDo Enjoy
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well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX
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independently and collaboratively Experience with deep learning frameworks, such as Tensorflow or Pytorch is advantageous Effective communication skills and an interest in contributing to a highly international
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, enjoy learning, and are prepared for an intellectually stimulating and demanding summer class. Courses are taught by outstanding public school, private school, and university instructors as
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in deep learning approaches and also experimental experience. Good communication and writing skills & team player. Strong interest in research work. Highly motivated, independent and resourceful. We
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(pre-processing, filtering, feature extraction in the time, frequency, and time-frequency domains). Development and validation of machine learning and deep learning models; integration and analysis