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Field
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processing, embedded systems, machine learning, and networked communication. Each PhD position corresponds to a dedicated research topic within the consortium. All doctoral researchers will benefit from joint
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pseudorange correction through multiobjective optimisation. The research will explore multiple classes of constraints that will be embedded as objectives: Internal pseudorange consistency: ensuring
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About the Project The future power grid will be a highly complex cyber-physical system, integrating multiple distributed energy resources (DERs) such as solar, wind, marine, and bioenergy alongside
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designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
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recently awarded NWO VIDI grant and is situated in the research team of Dr. André Kuhn. His team is embedded within the Plant Cell Biology group that is part of the Green Life Sciences theme
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specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision? Then check out the vacancy below and apply for a PhD position in this
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this PhD project is one and will be embedded in the whole consortium project. Below the description of the PhD project “New Partnerships between citizen collectives and governments” will be given. Challenges
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complexity seen in patients. This Marie Skłodowska-Curie Actions (MSCA) doctoral network PhD project takes a fundamentally new approach: embedding animal models in a translational framework that connects
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the main task of the PhD student is to pursue their doctoral studies, which includes participation in research projects as well as postgraduate courses. Engagement in graduate and postgraduate teaching
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to develop tools that strengthen how actors understand, align, and act on values across governance levels? Join our team and contribute to shaping value-driven change. This PhD position is part of the NWO