34 phd-sandwitch-in-architecture-and-built-environment PhD positions at Radboud University
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you motivated and enthusiastic about being trained in mathematical research? This is the opportunity for you! This PhD position will allow you to learn cutting-edge techniques in the calculus
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Department of Mathematics at Radboud University is seeking an outstanding, highly motivated PhD candidate in Mathematics of Nonlinear Acoustics. As a PhD candidate, you will develop novel mathematical methods
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the geometry of spacetime? Join Radboud University’s Department of Mathematics for a four-year PhD in mathematical relativity. Explore perturbations in relativity, contribute to groundbreaking research, and gain
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Employment 1.0 FTE Gross monthly salary € 2,901 - € 3,707 Required background Research University Degree Organizational unit Faculty of Science Application deadline 14 April 2025 Apply now This PhD
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aims to unravel the neurocomputational mechanisms of effortful persistence. As a PhD candidate, you will combine computational modelling, neuroimaging, pharmacology and neuromodulation. The Motivation
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international environment, where young scientists from different backgrounds share a fascination for the interaction between brain structure and function. For PhD candidates, there is a lively graduate school
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eager to conduct research on cosmology and what this could teach us about quantum gravity? This is the opportunity for you! As a PhD candidate you will conduct fundamental research on the overlap
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demanding applications as in environmental and exposure monitoring, and the green hydrogen industry? If so, then you have a part to play as a PhD candidate in our research team. Put your ideas to the test at
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decision support systems so that such needs can be integrated into these novel processes? Then this position might be for you! In this PhD position you will be part of the ELSA lab on Legal, Regulatory and
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you passionate about brain-inspired AI and sustainable tech? As a PhD Candidate, you will design real-time FPGA-based systems that mimic neural processes, enabling intelligent, on-chip learning for edge