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research in theoretical particle physics? The theoretical particle physics group at the University of Amsterdam and Nikhef is looking for a PhD candidate interested in the phenomenology of precision
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predictive theory for rapidly evolving viruses. You will work at the interface of theoretical physics, stochastic processes, statistical inference, and epidemiology, with SARS-CoV-2 and influenza as key case
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-supervised across the Institute for Theoretical Physics (ITP) by Dr. Farshid Jafarpour and the University Medical Center Utrecht (UMCU) by Dr. Ganna Rozhnova, and embedded in the Centre for Complex Systems
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environment. Your qualities We are looking for a collaborative and driven candidate who: holds a Master’s Degree in Physics, with a specialization in theoretical physics; is enthusiastic about fundamental
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the duration of a signal theoretically, in tight collaboration with experimental colleagues. The project requires interest in developing statistical physics, stochastic processes, or information methods, a focus
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are correlated with each other. CANES will address these issues by developing a theoretically principled framework to enable safe, interpretable, and robust AI by integrating perception and reasoning through
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10 Apr 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Physics » Condensed matter properties Physics » Optics Researcher Profile First Stage
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
, chemistry, physical chemistry, or related fields, with affinity for water technology/process engineering. Adequate experimental and theoretical skills are required. Candidates with experience in high-voltage
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probabilistic generative models for networks; analyze real network data from different application domains; design efficient algorithmic implementations of the theoretical models. You will be supervised by Dr
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-physical systems secure and resilient in the presence of uncertainty and cyber-physical attacks? Then you may be our next PhD candidate in resilient and learning-based control of cyber-physical systems