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University of Munich, and EURAC Research. Research visits at the partner institutions are foreseen. We are seeking highly motivated candidates with a solid background in databases and a deep interest in
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/Qualifications PhD in Computer Science or related field (with preferred specialization in Machine Learning/Deep Learning); Documented experience in Machine learning and Deep neural network model design and
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FieldChemistry » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications This is a strongly interdisciplinary project, and we welcome applications from candidates holding a PhD or a master degree in
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) at least three years' experience in the following fields or possession of a Doctor of Science or PhD qualification relevant to the required experience: • Techniques for collecting and analyzing data from Web
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from outstanding perspectives PhD Students and Post-Docs in the area of Parallel Computing and HPC. The selected candidates will delve into key research areas, including but not limited to: Development
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affected by abnormal movement control. Analyze movement data via deep neural networks to extract altered individual and group profiles This open position/research is financed by European Commission within
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). Available for long travels to perform research at consortium partners as well as available for short travels to consortium meetings and/or conferences. DC9 – Geometric Deep Learning PhD Enrolment : Alma Mater
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achieve breakthrough results. You'll always stay updated with the latest trends in the field and share knowledge with the team. Requirements What You Have PhD in Computer Science, Artificial Intelligence
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of predictive models for the life sciences. In particular, statistical machine learning and deep learning algorithms are applied to integrated health data such as Electronic Health Records (EHR), different levels