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individually, make a real difference. About the role The Department of Computer Science at the University of Surrey is seeking to recruit a full-time postdoctoral research fellow to work on a range of topics in
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. Alongside their research, Fellows engage in a series of leadership development activities, gain an in-depth understanding of the U.S. health care system and policy landscape, and build a robust network for
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innovative research culture in the Centre. The Research Fellow will use their research knowledge, skills and experience to contribute to the design and delivery of an ambitious research programme within
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responsibilities will include: Establish and Lead Innovative Research: Develop a research programme addressing CCGCM's strategic areas in cancer genome discovery, diagnostics, and translation. Foster Collaborations
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to evaluate and validate naïve pluripotency. Transcriptomics and network inference will be supported by computational/bioinformatics members of the team. Chimaera studies will be in partnership with our
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there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in Technology within three months of accession in the position. About the PhD-project Offshore wind energy
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implement novel control strategies for networked cyber-physical systems. Publish research findings in high-impact journals and present at leading conferences. Prepare report and contribute to the preparation
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, automotive, electrical/electronic engineering or computer science. Also, experience in the following areas is highly desirable: Control development and implementation, including neural networks Instrumentation
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. Probabilistic rational models, implemented as either Bayesian models or deep neural networks, have been proposed as standard models, from low-level perception and neuroscience to cognition and economics. But
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Chronic Conditions (ADACC) Network. This consortium will consist of multidisciplinary investigators dedicated to developing evidence-based strategies for the use and implementation of biomarkers