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through advances in statistical and mathematical AI and ML theory and algorithms. Examples of topics of interest include: statistically-principled methods for uncertainty quantification; operator learning
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for a PhD/Postdoc position within the Control Systems Technology section at the Department of Mechanical Engineering. This project focuses on developing model predictive control (MPC) algorithms
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in the area of control and automation for energy systems. The doctoral student will be co-supervised by Dr. Efe Balta (inspire AG) and Prof. John Lygeros (IfA). The Automatic Control Laboratory (IfA
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. The doctoral student will be co-supervised by Dr. Efe Balta (inspire AG) and Prof. John Lygeros (IfA). The Automatic Control Laboratory (IfA) in the Department of Information Technology and Electrical
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position in the area of Machine Learning for Engineering Design under the guidance of Prof. Mark Fuge, the Chair of Artificial Intelligence in Engineering Design. The general area of the laboratory covers
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group , led by Prof. Glenn van de Ven, is part of the Department of Astrophysics . The research group constructs detailed dynamical models of galaxies and stellar clusters to infer the distribution
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: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4570 The 'Dynamics of Stellar Systems' research group , led by Prof. Glenn van de Ven, is part of the Department of Astrophysics
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no.: 4570 The 'Dynamics of Stellar Systems' research group , led by Prof. Glenn van de Ven, is part of the Department of Astrophysics . The research group constructs detailed dynamical models of galaxies and
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the European Marie Sklodowska-Curie Training Network programme FADOS. The successful candidate will join a cohort of 17 Doctoral students distributed over 16 research groups in Europe and the UK. About FADOS
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(postdoc) Limited contract until: Job ID: 4570 The 'Dynamics of Stellar Systems' research group , led by Prof. Glenn van de Ven, is part of the Department of Astrophysics . The research group constructs