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may involve topics such as anomaly detection during process execution (e.g., identifying concept drift), simulation of highly variable processes, optimization of variable workflows, and many related
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Research Agenda and the Brazilian research council CNPq . Within the project, you will closely collaborate with another PhD candidate at Utrecht University on spatial optimization of land use, as
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(SSC), the work focusses on: Exploring and designing new concepts for spot size converters (SSCs) on our Indium Phosphide (InP) Photonic integration platform Developing and optimizing a manufacturing
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cardiovascular medicine. Mechanical Circulatory Support (MCS) technologies offer life-saving potential, yet optimal patient selection, timing, and device strategies require deeper mechanistic and clinical insight
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retrieve shapes, overlay errors, and other geometrical parameters of the target using methods ranging from local and global optimizers to priors and neural networks developed by partners in the project. Job
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and prior knowledge of the sample geometry. You investigate and optimize the trade-off between accuracy and imaging speed. For real-time application, the speed and accuracy of the algorithms will be
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Utrecht, CWI, Dutch municipalities, DSOs, and other societal/industry partners. The project brings together expertise in energy informatics, optimization, data science, social sciences, and governance
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Computational de novo design of VHH and scFv binders to blood coagulation factors such as factor Xa and prothrombin. Wet lab production and screening of the aforementioned binders. Optimization
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at cryogenic conditions: Many advanced technologies — like quantum computers, powerful microscopes, and chip-making tools — require extreme cooling. However, the optimal design of cooling systems at cryogenic
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integration, finite-volume and finite-element methods, variational formulations, structure-preserving discretisations, optimal transport, and the numerical analysis of partial differential equations. The second