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studies, construction management, and public management with many opportunities to collaborate with other research fields related to, for instance, responsible innovation, innovation policy, and transition
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the context of stress and depression? Are you intrigued to learn more about early-life stress as risk factor for depression and the role of the endocannabinoid system? Do you enjoy working in a lab with
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infrastructure managers You will be part of a multidisciplinary project with leaders in the domain of infrastructure governance and modelling. You will learn to conduct research independently and grow
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theory, and machine learning. They will have access to a fully equipped lab and benefit from collaborations within the ERC team and across TU Delft. There will be opportunities to present at leading
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Are you fascinated by understanding fundamental neurobiological processes in the context of stress and depression? Are you intrigued to learn more about early-life stress as risk factor for
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) developing and validating preprocessing pipelines; (3) architecting and comparing spectral-only and multimodal (HSI + NIR + Raman + RGB) deep-learning models; (4) implementing robust sensor-fusion strategies
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researchers in soft robotics, control theory, and machine learning. They will have access to a fully equipped lab and benefit from collaborations within the ERC team and across TU Delft. There will be
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Prof. Tanja Lange to conduct research and publish results at top-ranked international academic conferences and journals. You will be expected to collaborate with fellow PhD candidates and researchers
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) professionals in the field, with a lot of freedom and all the possibilities to learn and acquire skills that will last a lifetime A high degree of responsibility and independence, while collaborating with close
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project SlimmeBurger (aka “Smart citizen”) we are looking for an enthusiastic PhD candidate. The project SlimmeBurger, aims to investigate, in collaboration with citizen scientists, the extent to which