156 phd-in-ecotoxicology positions at Delft University of Technology (TU Delft) in Netherlands
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. Requirements Specific Requirements We are looking for an enthusiastic PhD student who has an MSc in a relevant field, such as chemical engineering, physical chemistry, inorganic or coordination chemistry
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Job related to staff position within a Research Infrastructure? No Offer Description The PhD position is part of research of prof. Bernd Rieger and prof. Sjoerd Stallinga , in which we target 3D super
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) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. In contrast to previous mobile
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Magnetic Resonance Imaging. We are presently recruiting a PhD student to pursue their four year doctorate in our lab funded by a prestigious ERC Starting Grant (VascularID ). The successful candidate will
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the police acts on information captured, or intervenes in e.g. a money laundering or drugs chain, any action will provoke an uncertain reaction. As a PhD candidate at TU Delft, you will bridge fundamental
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) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. Various 6G vision papers have
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) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. 6G networks will utilise
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) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. 6G aspires to connect seamlessly
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is crucial. As a PhD student at TU Delft, you will have the unparallelled opportunity to conduct unique research and drive adoption of the latest technology within the Police. In this 5-year project
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paradigms enables drones to dynamically adapt their actions based on environmental feedback and past experiences. The PhD candidate will develop innovative planning algorithms which exploit elements