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transformations. The project investigates a hybrid approach that combines deep learning with grammatical inference to develop models that are interpretable, efficient, and mathematically verifiable while leveraging
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the scientific field of the competition. c) Previous experience in statistical analysis of time series and mixed models. d) Previous experience in processing and analysing physiological data (electrodermal
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-Bicocca is recruiting 1 Doctoral Candidate to carry out research in Modeling of single-atom catalysts for acetylene hydrogenation. The positions will be supervised by Prof. Livia Giordano, and will offer
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, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12 PhD candidates will be based across seven different universities in Europe: four in
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hydrodynamic load models. The purpose of this work is to increase the understanding of longlines with seaweed under sea loads and develop accountable hydrodynamic load models. Your supervisor will be Professor
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patient stratification and combination therapy choices. You’ll be part of a tightly integrated team that uses computational models generate hypotheses and, with the help of partner labs, validate them in
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models. The candidate will be jointly supervised by Dr. Iris Groen (www.irisgroen.com ) and Prof. Cees Snoek (https://www.ceessnoek.info/ ). Want to know more about our organisation? Read more about
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, artificial intelligence, and its applications to large scale data domains in science and industry. This includes the development of deep generative models, methods for approximate inference, probabilistic
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computational models generate hypotheses and, with the help of partner labs, validate them in controlled systems. The end goal is a mechanistic and clinically relevant map of how CIN shapes cancer behavior and
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6th April 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in magnetohydrodynamic modeling of electric arcs in silicon