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the Netherlands, but they are often not subject to standard monitoring, nor are they included in the mitigation plans for the EU Water Framework Directive, the most important regulation for surface waters. Because
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role of neural rhuthms for inter-area brain network communicartion PHD2: The neural code for multi-item representation in working memory PHD 3: The dynamic interplay between brain and bodily rhythms in
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are recruiting three PhD students with distinct research foci: PHD 1: The functional role of neural rhuthms for inter-area brain network communicartion PHD2: The neural code for multi-item representation in
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aims to rethink how soft robots can interact with their environment, focusing on large-area, multi-point contacts—similar to how an elephant wraps its trunk around an object. Unlike traditional robots
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“RIPLEY,” led by Dr. Cosimo Della Santina. The project aims to rethink how soft robots can interact with their environment, focusing on large-area, multi-point contacts—similar to how an elephant wraps its
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the North Sea area, including NGOs, the Dutch government, and the offshore wind industry. Your qualities You are a curious and driven researcher with strong analytical skills and a commitment to
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
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fundamental science to social science; policy-makers, regulatory bodies; industry, patients and citizens) and PhD candidate will also join these efforts. As a PhD candidate, you are committed to conducting
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. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual annotations). The research will be conducted
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(Kingdom of the) [map ] Subject Area: Advanced Nearest Neighbour Models for Active Matter Appl Deadline: 2025/09/10 11:59PM (posted 2025/07/14, listed until 2025/09/10) Position Description: Apply Position