19 parallel-processing-bioinformatics-"Multiple" PhD positions at University of Twente
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Vacancies PhD Position in Computational Biology: Digital Twins & Disease Modeling for Precision Osteoarthritis Treatments Key takeaways Osteoarthritis (OA) is a complex disease in which multiple
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in the Power Electronics Group at UT and collaborate with experts from Seine Batteriesysteme, NRG2Fly, and multiple airports. The project also supports open-source developments in MW-charging protocols
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at the heart of multiple Sustainable Development Goals. All around the world, however, water systems are increasingly under pressure. In urban areas, diverse human water demands are rising, e.g. for irrigation
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Vacancies Two PhD positions on Flexible and User-adaptive statistical inference Key takeaways You will develop a mathematical framework for multiple testing, enabling flexibility in study design
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Vacancies PhD Candidate in Explainable AI for Earth Observation Key takeaways With the growing integration of Artificial Intelligence (AI) in geospatial decision-making processes, ensuring
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at the interface of applied mathematics and process optimization in the medical laboratory context. Your contributions will be to gain mathematical insights and ensure that these translate into real-world impact
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intuitive, explainable tools for clinicians. Your Role You will work at the interface of signal processing, AI, and clinical neurophysiology. The project involves close collaboration with MST, the University
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of chemical technology, applied physics and biomedical technology. Our fields of application include sustainable energy, process technology and materials science, nanotechnology and technical medicine. As part
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to translate your findings into more efficient production processes and better quality control. Your work will directly promote sustainability through reduction of material waste in production and pigment
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of application. Proof of English proficiency About the department The PhD student will join CAES, a group working on the most efficient and effective computer architectures of the future, from large-scale data