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) a European master's degree in Computer Science or Electronics Engineering, with excellent ('honors'-level or above) grades. You have a strong foundation in control theory, deep learning or computer
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spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed—ideally a creative use
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 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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expertise in data science, machine/deep learning, biomedical informatics, trustworthy AI, and health-related applications. The research group has an established track record in coordination and participation
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. Broward College places special importance on helping under - prepared students achieve academic success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to
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information sources and to provide the relevant analysis of all the available variables in different scenarios conditions. In order to reach this goal, deep learning-based algorithms will be implemented
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possess a PhD or be close to completion of a doctorate in accounting from an AACSB accredited University. The ideal candidate is expected to conduct high-quality research, teach both undergraduate and
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terrestrial networks, non-terrestrial network entanglement distribution. Your profile PhD degree in wireless communications, signal processing, machine/deep learning or a closely related field in Electrical and
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of novel mechanistic insights is gained through the application of novel probabilistic deep-learning models that automatically extract biological and statistical knowledge from your in vivo perturbational
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on human behavior modeling related to video classification using deep learning networks for end-users. Work with other team members to develop and maintain software for maximum efficiency and usability