43 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" positions at University of Twente
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding HR Excellence in Research Tenure Track PhD EngD
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding HR Excellence in Research Tenure Track PhD EngD
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Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
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Future-Proof Smart Logistics. It aims to contribute to the realisation of the PI concept by developing advanced machine learning-based decentralised decision-making algorithms. These algorithms will enable
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-based, probabilistic, and in-memory computing, are based on a wide variety of physical processes, materials, architectures, and algorithms. For effective implementation, these aspects need to be mapped
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operating (Waterstromen) membrane-based wastewater treatment plants. As part of the UT team, you will develop a robust model predictive control (MPC) algorithm based on sensor and other system inputs that can
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verification, and proof assistants. Your focus will be on developing frameworks that pinpoint and explain the root causes of failures in interacting programs - a key step towards ensuring fault-tolerance. While
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fidelity. In this PhD, you will help develop these next-generation tools. We are seeking a highly motivated PhD candidate to strengthen our research. Your research will focus on the development of numerical
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding HR Excellence in Research Tenure Track PhD EngD
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from a technical and scientific perspective. The Ph.D. candidate will develop methods for uncovering DNS infrastructure dependencies at scale, relying on active measurements and graph-based analysis