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mathematical foundation of machine learning models. You will be responsible for developing scientific machine learning methodologies enabling new approaches for solving machine learning problems including
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). Candidates who are considered to be in conflict with the criteria in the latter act, will not be assessed. You must have an academically relevant background within computer science, applied mathematics
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University of Basel, Condensed Matter Theory and Quantum Computing Position ID: University of Basel -Condensed Matter Theory and Quantum Computing -PHD [#21542] Position Title: Position Type: Student programs Position Location: Basel, Basel-Stadt, Switzerland [map ] Subject Area: Theoretical...
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, sustainability science, geography, or a related field. You have experience with quantitative research methodologies, including mathematical programming or scenario modelling. You have experience with spatial
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, geophysics, geology or a closely related field Fluent in English (spoken and written) Strong motivation for mathematical inverse methods Strong motivation for team collaboration Experience with paleomagnetic
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equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep learning, or signal processing; familiarity with
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related field. Strong affinity (e.g. via advanced courses or projects) with first-principles mathematical modelling of thermal systems, model reduction, system identification, machine learning. Programming
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boundaries. This fully funded PhD scholarship is suitable for students with a background in Engineering Design, Smart Manufacturing, Aerospace Engineering, Mechanics, Computer Science, Mathematics, Life Cycle
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from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organized in eight institutes
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent written and spoken English skills High