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Field
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confidence in the measurements and establish traceable validation routes. Optimize the methods for realistic converter operating conditions and communicate practical guidance to academic and industrial users
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to optimize and analyze the developed sensor systems. We are looking for a highly motivated PhD candidate to strengthen our interdisciplinary research team. Be part of change Develop intelligent sensor systems
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declarative problem description and automatically compute an optimal solution to it. Often, users specify their problem in a high-level, human-understandable formal language. This specification is first
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optimization of novel antiviral molecules using computational and structure-based approaches, contributing to the development of innovative therapeutic strategies against WNV and other emerging flaviviruses
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federally funded research. In addition, the Research Assistant Professor will: Provide leukemia-focused scientific leadership for the NIH-funded T-ALL research program Design, develop, and execute mechanistic
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diagnosis and treatment of breast and prostate cancer. You will work closely with computational scientists, molecular biologists and clinical researchers in a translational setting. The research is conducted
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transition. This ambitious goal will be achieved by developing advanced experimental and computational tools to characterize e-fuel combustion processes, optimize fuel-flexible technologies, and integrate
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structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We will consider techniques like flow matching, and use ideas from optimal
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be given further consideration as candidates: Education Ph.D. in Electrical Engineering, Physics, Photonics, Optical Engineering, or a closely related field. As part of the RA Program you must have
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while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed