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operational employment. This doctoral research will thus leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modelling systems as graphs
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/fluid mechanics as well as polarizing optics. Experience with liquid crystals and polymeric liquids is a strong asset. An M.Sc. in physics is ideal, but also materials science, mechanics or chemistry M.Sc
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that combines structural biology, biochemistry, and cell biology. The lab is particularly focused on biomolecular interactions, characterizing regulatory complexes, and developing novel therapeutic
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Department: Department of Physics Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic, forward-thinking, European university. We offer
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processing, signal processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G
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actuation control in SAMs is particularly complex. DOMINANTS aims to create a novel, optimized methodology to improve SAM dexterity, enabling a wider reach and the ability to grasp various static and dynamic
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been awarded ERC Starting and Consolidator Grants. The group is one of the founding members of the Leuven Institute for Micro- and Nanoscale Integration (LIMNI, https://limni.kuleuven.be/). Our research
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that can find both short- and long-term time dependencies without overfitting and requiring large amounts of data. The methodologies will be developed and validated on complex real-world mechatronic systems
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longitudinal data (e.g., experience sampling data). Knowledge and experience with analysing complex nested data (e.g., multilevel data) in R and/or Mplus is desirable (however, note that eagerness and an
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Job description ABOUT THE PROJECT “Anything else you’re interested in is not going to happen if you can’t breathe the air and drink the water. Don’t sit this one out. Do something. You are by