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Our team We develop next generation optical imaging and sensing platforms in the context of future biomedical, pharmaceutical and clinical applications. We are particularly interested in label-free
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limited, noisy, and low-resolution measurement data? In this project, you will develop a novel physics-informed machine learning approach that integrates physical simulations of the measurement process with
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Help shape better decisions for adaptive reuse of buildings across Europe. Develop strategies that balance environmental impact, costs, technical performance and circularity. Job description
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in a PhD position at the crossroads of lab-based experimental linguistics and linguistic fieldwork, then we welcome your application! Evolution and processing of languages with late negation In
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Apply now Why do some people develop gambling-related harm while others, despite similar experiences and circumstances, do not? In this ZonMw-funded PhD project, you will use longitudinal panel data and
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of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from Mathematics (Inverse Problems), Computer Science (Machine
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experience with designing and conducting experimental research, including formulating research questions, developing or implementing experimental procedures, and collecting and interpreting research data. You
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‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations that optimize these indicators; Compute Pareto frontiers under
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the overall performance of optical links, directly impacting achievable bandwidth, signal integrity, energy efficiency, and system robustness. The primary objective of the project is to develop novel circuit
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and economic use of renewable electricity without an unnecessary discarding of generated power. This four year’s PhD position is aimed at developing multiphase models to predict the dynamics and