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Susanne Westhoff (Radboud University) in close collaboration with Dr Flavia de Almeida Dias (University of Amsterdam). This position is part of the research project ’Reconstructing 25% of the Universe with
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team as a PhD candidate! Chemistry is a science of mixtures. Whether you think of complex formulations for drug delivery to the foam on your cappuccino: the properties of small molecules, polymers and
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to make viable trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with
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conducting insect field studies across varied environments Ability to work independently and as part of an interdisciplinary team Good proficiency in English (both oral and written) For this position your
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Do you enjoy working at the interface between behaviour, ecology, and evolution? Then you might be the PhD candidate we are looking for! In this project, you will investigate how swarming behaviour has evolved across Diptera (flies and mosquitoes), one of the most ecologically and behaviourally...
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Vacancies PhD Position in Algorithmic Energy Trading Key takeaways In recent years, the energy sector has undergone changes that have a high impact on the dynamics in power markets. One
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Do you want to help us make AI more efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use...
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to help us make AI more
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Circularity, energy transition, extreme heat, and flooding: all potentially conflicting challenges
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are looking for a motivated PhD candidate to join the Physical Intelligence Lab at TU Delft and contribute to advancing model-based control of soft robots. The position is funded by the ERC Starting Grant