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Field
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research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and treatment optimization • Biomedical knowledge
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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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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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conversion. Integration of developed materials into soft and deformable thermal energy-harvesting devices. Characterization and optimization of the thermoelectric, electrochemical, and energy-conversion
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optimization of the electrical, electrochemical, mechanical, and energy-conversion performance of materials and devices. Fabrication and validation of multi-cell devices under representative low-grade heat
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Web of Science in the required fields of knowledge; c) Have experience in the development of optimization models and methods, as well as their implementation and testing. 5. Formalization
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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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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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systems, optimizing audio playback levels, and supporting other acoustic interventions to improve occupant comfort and building performance. The research will adopt a human-centered approach, placing