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engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes
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part of the Innovative Health Initiative (IHI) project AF-B-STEP (Quantifying Atrial Fibrillation Burden to inform Screening, Treatment, and hEalth Policy, https://afbstep.eu/) , we aim to establish
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-drone system and to the development of a physics-aware digital twin for aerial robotic construction. This digital twin will integrate robot dynamics, aerodynamics, contact interactions, component geometry
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of Quantum Nanoscience, TU Delft, to investigate electronic structure and spin-orbit/scalar relativistic effects in lanthanide-containing molecular and periodic systems. Molecules and atoms with unpaired
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to inform Screening, Treatment, and hEalth Policy, https://afbstep.eu/) , we aim to establish atrial fibrillation (AF) burden as a novel biomarker for precision medicine. AF-B-STEP brings together leading
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chemistry and physics techniques. What you will do You will work in a small team, including one or more PhD students, towards the goal of designing, analyzing and testing novel device structures that exploit
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profile of recycled polymers by means of various chemical, structural, rheological and mechanical characterization techniques. The PD research will be carried out under the supervision of Prof. Željko
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on the theory of deep learning will investigate questions such as the structure and expressivity of emerging neural architectures relevant to space, such as implicit neural fields, continuous normalising
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researcher who wants to work on the incoming mission data before and shortly after they become publicly available. You will focus on the data products for vegetation structure and photosynthesis. Your main
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all scientific and collaborative activities. Take responsibility for structuring, curating, and safeguarding research data, working closely with the research team at the Department of Pulmonary Diseases