16 deep-learning-phd Postdoctoral positions at Delft University of Technology (TU Delft)
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the liveable cities of tomorrow? Job description Human-centred AI techniques, such as Reinforcement Learning from Human Feedback (RLHF), hold great potential for supporting design methodologies in urban planning
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independently while also being an effective team player, and are eager to collaborate closely with other researchers and industrial partners. Moreover, you meet the following requirements: You hold a PhD degree
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modelling efforts carried out by two PhD researchers. The role includes substantial fieldwork: at least two month long campaigns and 1–3 maintenance visits over 18 months. Experience in (Southern) Africa is a
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&neck cancer. Together with our PhDs, technicians and supervisors, you will build several prototypes of both of these ultrasound devices, connect the electronics, perform the experiments, and further
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restoration requires upscaling, which demands different knowledge and a different approach. Therefore, Rifherstel-XL (Reef Restoration-XL) will focus on practical learning and deepening the knowledge base
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presentations in which you communicate your experimental results. Job requirements You would be our ideal candidate if you are/have: PhD in the field of (applied), physics, chemistry, (fibre)optics, material
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record in quantum technologies, and a PhD in the field at the time of assuming the position. Quantum Network Systems Our team has built QNodeOS, the world's first operating system for quantum network nodes
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an interdisciplinary team of scientists. You will join the Geoscience and Remote Sensing Department (GRS), working closely with PhD candidates, postdoctoral researchers, and senior staff. TU Delft provides excellent
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, knowledge, and strategies needed to better protect communities from the floods of tomorrow. You will work closely with international experts from academia and industry, as well as with a PhD student focused
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theory, and spectral graph theory. The Posdoc will be supervised by Anurag Bishnoi. You will have the opportunity to collaborate with Postdocs, PhD candidates, and other faculty members of the research