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in navigating this design space, architects and researchers alike look to simulation. A well-documented drawback of modern simulation solutions is that of long execution times, requiring days, weeks
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. During the PhD programme, a student would be expected to explore the design of advanced computer networks, both through simulation and the direct execution of workloads on real-world implementations. As
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. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process & microstructure with
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the Systems Analysis Unit, looking for talented and motivated candidates to work on process simulation and life cycle sustainability assessment of agri-food waste valorisation systems. Contract funded by
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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Other) The successful applicant would study an appropriate master’s degree, such as: MSc Data Science MSc in Social Data Science This project explores quantitative techniques that identify fake news
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and Simulation Group at ICN2 conducts cutting-edge research in computational materials science, focusing on electronic structure methods, atomistic simulations, and multiscale modelling. The group
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applications for a PhD Student (f/m/d) in the field of Theory and Methods for Non-equilibrium Theory and Atomistic Simulations of Complex Biomolecules Possible projects are variational free energy methods
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motivated applicants for PhD positions. As a member of our team, you will have the opportunity to collaborate on cutting-edge technologies like quantum simulators, Bose-Einstein Condensates, and quantum
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using advanced simulation tools. Specific tasks include: ▪ Implementing ISAC resilience strategies derived from theoretical work (e.g., waveform design, resource allocation, adaptive sensing approaches