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. For complex conditions such as multiple sclerosis and autism spectrum disorder, progress has been slowed by animal models that optimize for single causes or treatments, without reflecting the diversity and
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to support coordinated decision-making for sustainable strategies in the port call? As a PhD student at TU Delft, you will leverage AI (i.e. optimization and machine learning techniques) to prepare ports
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. optimization and machine learning techniques) to prepare ports, terminals, shipping companies, and other port actors for this important challenge. Your research will be part of the PortCall.Zero project - a five
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impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective is to investigate the optimal
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on melting performance. Apply a multiscale characterization strategy to link microscopic phenomena to macroscopic process outcomes. This fundamental research will contribute to optimizing the HyDR process and
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for in vivo studies. Leveraging recent advances in microscopy and voltage indicators, we can now observe voltage signaling within different compartments of a single cell in live animals, enabling us to
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g., term rewriting) to algorithmic optimizations (e.g., group level algorithms), and to hardware
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Welcome to Maastricht University! The world is changing fast, and we’re changing with it. At Maastricht University, your work makes a real difference – whether you’re exploring the future through
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work will focus on identifying the mathematical knowledge and properties to guide hardware optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g