106 computer-programmer-"Multiple"-"U"-"O.P"-"University-of-Exeter" PhD positions at Nature Careers
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and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ Candidates will be enrolled in the PhD program in Computer
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resume with professional and technical skills, and exploring the scientific and cultural diversity in Europe and North America? The graduate training program in Scalable 2D-Materials Architectures (2D
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relevant state-of-the-art technologies. S/He will benefit from an active seminar program, international conference attendances, opportunities for professional growth. The project will be carried out in
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interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight
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+ publications (85% in Q1, 80% in D1 journals) - 5 international patents - Multiple technology-based companies o Multidisciplinary research clusters under senior supervision. o Relocation and settling support in
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of the next generation of scientists is one of EMBL’s key missions. The EMBL Corporate Partnership Programme invites applications for short-term fellowships to enable junior level scientific visitors (active
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research, including experimental design, execution and manuscript writing across multiple projects. The path to Adelaide University We are on an exciting path to Adelaide University as we prepare to open our
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods