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Deutsches Zentrum für Luft - und Raumfahrt (DLR) | Koln, Nordrhein Westfalen | Germany | about 2 months ago
4 Apr 2024 Job Information Organisation/Company Deutsches Zentrum für Luft - und Raumfahrt (DLR) Research Field Technology Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Germany Application Deadline 7 Aug 2024 - 00:00 (UTC) Type of Contract To be...
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We are looking to appoint a research scientist to carry out research in machine learning and artificial intelligence to develop interpretable clinical decision support tools and novel methodologies
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diagnostic tools to support the managements of patients with stroke. This is a unique opportunity to work in a multi-disciplinary, collaborative environment at the interface of AI, machine learning
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We are looking to appoint a research scientist to carry out research in machine learning and artificial intelligence to develop interpretable clinical decision support tools and novel methodologies
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in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high-quality papers on deep learning theory, machine
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research in the form of papers, posters or oral presentations Understanding of the concepts and application of research ethics Desirable criteria Expertise in Python programming for Machine and Deep Learning
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, PhD and Carlos López, PhD, the PO&B team is an interdisciplinary group that includes pathologists, oncologists, hematologists, biologists, biotechnologists and computer specialists, with strategic
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European credits) in information economics/ operations management, econometrics, machine learning, extensive data analytics and qualitative research methods. The training can be adapted to the previous
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disorders. Many of the statistical techniques emphasized in the lab span disciplines such as network theory, dynamical systems, and machine learning, among others. Accordingly, the objectives of the lab
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the power of machine learning, you will explore the interplay between metabolomic and proteomic data and depression to transform our understanding of this pervasive disorder. Based at King’s College London, a