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Generation, digital double, human-like avatars. Profile PhD in Computer Vision Background in CS Research experience in gen AI, deep learning Strong computational and analytical skills, as well as experience
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machine learning algorithms to support the traceability of the beef’s geographical origin. She/he will participate in all stages of the project, including planning and supervision of sample collection and
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PhD students. The research will be conducted in a collaborative and multidisciplinary environment, with close interaction with major industrial and research partners (e.g., Ericsson, Tele2, RISE
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 18 days ago
the computational work. Researchers in the group have experience with crystal plasticity using finite element and fast Fourier transform methods, fatigue indicator parameters, process modeling and machine learning
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. Unsupervised machine learning approaches will be used to identifiy key dimensions of circadian rhythm associated with dementia subtypes. This requires a very good level in statistics and R programing as
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field of research Participate in education, and PhD and master student supervision Profile Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field
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stimulation (TMS), and transcranial direct current stimulation (tDCS) through interdisciplinary collaborations. Behavioral measurements and physiological recordings, including facilities for computer-based
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through open innovation. Job requirements You have a PhD degree or expect to obtain a PhD degree soon in mechanical engineering, maritime technology, operations research, systems and control, or a related
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service, genetic information, sex, sexual preference, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent
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leading journals and conferences. About you · a PhD in Materials Science and Engineering, Physics, Materials Characterisation, Computational Materials Science, or a closely related discipline