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Field
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fluorescence microscope optimized for imaging individual cells within microtumors. Through this work, the PhD candidate will receive hands-on training in the design, implementation, and optimization of a state
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glycobiology, radiopharmaceutical sciences, targeted radionuclide therapy, and translational research. Job description As a PhD student, you will: Develop and optimize radiolabeling strategies for glycosylated
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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storage, demand‑side management, and hybrid PV–wind systems. Development of optimal strategies for increasing grid hosting capacity considering power quality, voltage stability, and losses. The research
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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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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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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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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