14 computational-intelligence PhD positions at Technical University of Denmark in Denmark
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to enhance efficiency, power density, and performance in applications such as high-performance computing (HPC) systems and artificial intelligence (AI) accelerators. Responsibilities and qualifications As a
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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join a dynamic research team led by Associate Professor Rico Krueger, and you will be a member of the Intelligent Transportation Systems (ITS) section within the Division for Transportation Science at
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on the following criteria: Profound knowledge in Operations Research, Management Science, Analytics, Data Science, Artificial Intelligence, and Behavioral Research Knowledge of and practical experiences with
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. Motivation, tasks, and qualifications Electric power systems are evolving to become more sustainable, distributed, and intelligent, with the ambitious goal of reducing emissions by 70% by 2030 in Denmark
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intelligence and machine learning will play a crucial role in the modeling and control of these RPPs, ensuring optimized performance and efficiency. You will be part of a joint alliance research project called