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produce and what policymakers and enforcement agencies can confidently use. The current validation frameworks were designed for annual or static products and fail to address several key areas: Time-evolving
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As part of the ~30 Mio€ ‘SLDBatt’ project, the largest R&D project into battery technology for long-term
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mediators that aim to improve the stability of the system, the development of materials that can function as solid booster materials to improve the energy density, and their assessment of performance in
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there are many opportunities to interact. The research of the Nikhef theory group include higher-order calculations and jet physics in perturbative Quantum Chromodynamics, parton distribution functions
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of singular foliations, working with advanced tools like groupoids, cyclic cohomology, C*-algebras and K‑theory. The Department of Mathematics is seeking a highly motivated PhD candidate for a research position
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months ago
wastewater treatment ineffective for their removal. These substances further endanger activated sludge performance and pose a health hazard for both aquatic and terrestrial life. The application of gas-phase
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experimentally explore their fascinating dynamics. This project consists of an experiment-theory collaboration in which a PhD candidate in Experimental Nano & Ultrafast Magnetism, supervised by Prof. Bert Koopmans
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? Join an interdisciplinary PhD project that uses large-scale viral genome and epidemiological data to develop predictive theory for rapidly evolving viruses. You will work at the interface of theoretical
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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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(e.g., stop-signal, Stroop), providing theory-driven accounts of trial-to-trial fluctuations in performance. (2) Implement these models within a Bayesian hierarchical framework to link task-level