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is made for you! Information We invite highly motivated students with a strong background in mathematical control theory, and a keen interest in machine learning to apply for the PhD position within
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cropping strategies. The second PhD position within this work package will focus on ‘learning from farmers’. Together, these complementary perspectives will contribute to an integrated, system-level approach
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enabling new transmitter concepts, but only if we can detect imperfections and correct them in real-time. In this PhD, you will build the digital “brain” that makes this possible: an energy-efficient
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learn about many interesting projects related to your PhD, in particular those of the strontium BEC group and of the hybrid atom-ion group . Your PhD project will profit from synergy with all
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—biological mechanisms that remain largely unexplored. TU Delft, as a key partner in the national ADORE programme, offers two fully funded PhD positions focused on developing innovative computational and AI
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the future of sustainable protein crops in the Netherlands? Are you excited about combining plant physiology, genetics, and cutting-edge phenotyping to advance the protein transition? Then one of these two PhD
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perspective. The second PhD position within this work package will focus on ‘learning from nature’. Together, these complementary perspectives will contribute to an integrated, system-level approach
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the course of the PhD. Example directions include: Anomaly, novelty, and out-of-distribution detection in visual data Fine-grained visual understanding for distinguishing subtle irregularities Learning visual
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to innovation and transition in action. Next to working in the context of the larger Ombion-CPBT project, as a PhD researcher you will have the opportunity to acquire and develop reflexive, participatory and
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PhD position on debris flow magnitude and frequencies Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 16 February 2026