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of materials science, polymer engineering, soft matter physics, and device-oriented prototyping. Information You will: fabricate and optimize liquid crystal polymer coatings with programmable molecular alignment
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Challenge: Extreme water events threaten people and infrastructure Change: Understand impact dynamics with experiments and numerical simulations Impact: Optimize the design of resilient
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though optimal sizing of chargers and mobile battery storage systems based on the demand and through energy management strategies under traction and AC grid constraints. Contribute to two pilots
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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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integration. Investigate how traction grids can support high-power charging at construction-sites though optimal sizing of chargers and mobile battery storage systems based on the demand and through energy
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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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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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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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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