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Lab aims to reveal how metabolism, oxidative stress, and cell death converge to shape cell fate. For more information about the Henry Lab, please visit: https://thehenrylab.squarespace.com/ For more
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to the unique opportunity of an interdisciplinary public affairs education. For more information about the School of Public Affairs, please visit our website at https://spa.asu.edu. ● Teach a 4/4/2 course
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reconstruction and deep learning techniques. Participates in publications, scientific abstracts, and presentations as first author or co-author. Presents research results at scientific meetings. Participates in
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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perturbation modelling. The ideal applicant brings not only strong technical skills, but also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning
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science. Teach relevant courses, supervise BSc, MSc and PhD students, and mentor postdocs and tenure track assistant Professors. Contribute to the strategic development of the department’s research and
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on the field of composition with pedagogical competence to teach at the undergraduate and graduate levels. Earned doctorate (PhD or DMA) in music composition or a cognate discipline required. The
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
biology, in particular on single-cell genomics. We are looking for a highly motivated PhD Candidate (f/m/x) in Machine Learning (ML) or Computational Biology to join a collaborative research project with
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. Qualifications: Required Education and/or Experience: Must have a PhD degree from an accredited institution of higher learning; or Must have a Master's degree from an accredited institution of higher learning and
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paper, including the previous developments, should be published and our group established as one of the players in the area of deep-learning for computational mechanics. Legislation and Regulations