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25th September 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Deep Learning Enhanced FSI analysis of Modular Floating Structures PhD
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We offer a 4-year PhD position investigating how tertiary lymphoid structures (TLS) shape local immune responses in different disease contexts and how they can be targeted therapeutically. Tertiary
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their surrounding environment through complex aerodynamic or hydrodynamic interactions. These interactions are highly nonlinear and depend on the robot geometry, local flow conditions, turbulence, and external
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
Network SPARK for the doctoral project ‘Spatiotemporal Information Processing’. Last day to apply is November 30, 2026. The earliest starting date is February 2027, or by agreement. Project description
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. The appointment is for a period of three years. The successful candidate will be enrolled in the PhD programme in Biomedical Engineering and Neuroscience at the Faculty of Medicine. Who we are The Department
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The PhD position is aligned with a research program that has the overall aim of providing new understanding of the processes that affect marine larval dispersal and gene flow, how we measure it with genetic
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align with the key research themes of the Mechanics of Advanced Materials and Structures (M²S) research group, including advanced characterisation and monitoring of materials and structures, mechanics
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infrastructure Job description We are looking for an enthusiastic and talented PhD student to join the NWO-VIDI project 'Not-Just-Water' to investigate the impact of extreme water events on (infra)structure
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, 2026, or as soon as possible thereafter. The appointment is for a period of three years. The successful candidate will be enrolled in the PhD programme in Biomedical Engineering and Neuroscience
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computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and