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into neural networks. PINNs can model real-world signals with sparse, non-uniform, and noisy data. A key question is determining the optimal method for integrating physical priors into neural networks
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exchange and innovation Your work is vital to advancing less invasive treatment options, reducing patient recovery times, and optimizing healthcare resources. Your day-to-day research will take place in
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for wind turbines, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime consumption while guaranteeing optimal power production
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and other stakeholders to gauge and optimize the ecological and bioeconomic consequences of North Sea OWF expansion. The announced PhD position focuses on foraging and life-cycle ecology of fish and
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and research, in and outside academia. About the project The proposed research aims to optimize the design of timber building systems with innovative connections and achieve an extended service-life
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, and data scientists to develop and optimize experimental pipelines. Gain experience in both wet-lab and computational techniques to tackle some of the most important questions in microbiome science
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system (DDS). Based on the existing findings on BBB, develop and optimize DDS for itraconazole delivery. Potential DDS options are liposomes, polymeric nanoparticles, and inclusion complex formation. DDS
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videos. Lifetime Persistent Name yt-player-bandwidth Use Is used to determine the optimal video quality based on the visitor's device and network settings. Lifetime Persistent Name yt-remote-connected
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of synthesized organic molecules, using NMR, MS and SC-XRD; scale-up of the synthesis of pyrrolizidine core; synthesis of analytical standards; rationale-based synthetic route design and reactions optimization
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predictive data-driven models describing the catalytic activity and stereoinduction capabilities of ligand mixtures, allowing for their efficient experimental optimization. The goal of this project is to: 1