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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and pharmacy. In close collaboration with partners from industry, healthcare, and society, we contribute to...
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-performance computing and parallel algorithms. Selection process Applicants should submit a CV, academic transcripts and a motivation letter through the KU Leuven application portal. In addition, candidates
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algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification
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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Long term management of large scale computing infrastructures requires
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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) to develop and optimise electron beam lithography processes for the fabrication of master templates used in nanoimprint lithography (NIL) for the replication of grating waveguide structures (GWS) for high
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secondments of the PhD student at other involved parties in the network such as the company QuiX (Enschede) and UCL (London). Other trainings and collaborations in the area of quantum error correction
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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | 2 months ago
of biomolecules. All models will be experimentally validated using data generated in parallel projects, either relying on droplet microfluidics (for thermodynamics and kinetics) or on large-scale setups (process
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scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing predictive performance, generalisation