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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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, computer science, microsystems technology, communications engineering, or a comparable field—ideally supplemented by a PhD. Practical experience: You have in-depth knowledge of project acquisition and
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning, and artificial intelligence with
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), the Department for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated
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, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC
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The Leibniz Institute for Prevention Research and Epidemiology – BIPS in Bremen, Germany, invites applications for a three-year PhD program in epidemiology, statistics, and prevention and
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well as the Institute for Visual and Analytic Computing at the University of Rostock. The successful candidate is expected to have a degree and PhD in engineering, electrical engineering, computer science, or related
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wide range of markets such as automotive, industrial and aerospace. The rapidly growing demand for computing power especially in relation to quantum computing (QC), artificial intelligence (AI), and
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system development and software development for four scientific laboratories Measuring devices and data analysis • InSAR (Interferometry of Synthetic Aperture Radar) computing system • IR mass spectrometer