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the modelling project and a parallel experimental project, focused on measuring particle generation in silicon wafers is therefore essential. Section Mechanics of Materials You will work in the section
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
resilient decarbonization. Your research will combine time-series analysis, supervised and unsupervised learning, and explainable AI methods to uncover the dynamic patterns preceding technological
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. Your work environment You will carry out this research as part of the ERC-funded RIPPLE project, led by Professor Giacomo Marangoni, and embedded within the Policy Analysis section of the Multi-Actor
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embedded system design to drive neuroprosthetic innovation, we encourage you to apply. Stretch feedback plays a key role in motor control, and its disruption—such as after stroke, spinal cord injury, or in
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How can more households be engaged in the energy transition, especially those less willing or able to take part? This PhD project investigates how individual concerns and behaviors are embedded in
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aging affects key cognitive domains such as memory, attention, and decision making, using advanced experimental, neuroimaging and AI modeling techniques. Both projects are part of a broader research
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for the extremely rare process of ttHH production in LHC Run-3 data. This search will include all tt final states, and will include boosted final states. The analysis strategy is strongly focused on advanced machine
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bioinformatic and AI tools to analyse the mass spectrometry data and improve the de novo sequencing workflows. Your work will lead to new antibody leads, that can be recombinantly produced and ultimately tested
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with the fishing industry. Please note that a good command of the Dutch language is essential for this position. In this role, you will translate knowledge needs from practice and policy into concrete
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want to study the role of protein regulatory networks in the context of cancer? As a PhD Candidate at the Vermeulen Lab, you will develop and apply innovative omics strategies. Protein–protein