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, systems engineering, computer science, applied AI, data science, applied mathematics, industrial digitalisation, engineering simulation, optimisation, or another relevant field. Strong written and
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and prepare your doctoral thesis Your Profile Your qualifications and technical background include: An excellent master’s degree or equivalent in computer science, data science, applied mathematics
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quantitative, data-analytic, and writing skills who are eager to apply these abilities to questions in regulatory science, pharmaceutical policy, and the evidentiary basis of medical product regulation
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discovery to further human understanding. Faculty on the RTG-MAIS are listed below: * Amy Cochran: Computational psychiatry, data science, and mathematical biology. * Jordan Ellenberg: Arithmetic algebraic
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embedded FPGA-based intelligence near seismic sensor arrays, you will explore methods to maximize prediction performance while minimizing data transmission and latency. Your key tasks include: Evaluating
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of atomic-resolution structural and spectroscopic data. Your Profile Completed qualification to enroll for the Master thesis in Physics or Materials Sciences, with a good track record Willingness to
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program in electrical engineering, energy systems, computer science, data science, applied mathematics, industrial engineering, or a related field, and have demonstrated very good academic performance in
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surrogate models and experimental data from a pilot-scale settler are available. The project offers close supervision from doctoral researchers in machine learning and process control. Your Profile
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and Machine Learning , with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable
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, with an interest in probability theory, mathematics, and data science. Very good practical C++ and Python programming skills allow you to make your ideas happen. Very good command of written and