1,763 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" PhD positions
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integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
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information into versatile benchmarks supporting development of a new generation of assured PNT systems. Positioning, navigation, and timing (PNT) underpin modern transportation, logistics, and critical
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candidates will undertake a minimum of 60 FTE business days of research and development with the organisation. The AGRS will support eligible students with a research internship scholarship (for 60 business
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“Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
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PhD Develop transferable professional skills Get access to specialised expertise, equipment and training The CSIRO Industry PhD Scholarship (iPhD) Program is an industry-focused, applied research
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), environment, sustainability and climate change industries, green urban futures (RESTORE). The successful candidates will undertake a minimum of 60 FTE business days of research and development with
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of computer science; You’re enthusiastic about (and ideally experienced in): inference algorithm development and evaluation for statistical computing and machine learning; applications of statistical computing and
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Applications are invited for a fully-funded four-year PhD position that will explore how rural youth (ages 18–30) use both online and offline methods to make sense of sustainable development and the
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Join us for this exciting self-funded PhD studentship on " Development of Sustainable and Cost-Effective Coatings to Mitigate Battery Thermal Runaway Propagation" in collaboration with