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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD student to carry out ground
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, and PhD students of over 20 nationalities. The institute regularly publishes at leading AI-related conferences such as CVPR, NeurIPS, EMNLP, ICCV, ECCV, ICML, ICLR, and IROS, as well as at top
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discoveries into meaningful health outcomes for patients, Singapore, and the global community. For further information, please visit: https://www.ntu.edu.sg/medicine/CMM . We are seeking a motivated Research
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interdisciplinary research and dialogue. Qualifications Successful applicants must: Hold a PhD or similar qualifications within relevant fields of Computer Science or Mathematics. Exhibit curiosity-driven research
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established SOPs for new and existing molecular sequencing technologies – genome engineering, new and existing computational algorithms – iPSC differentiation to neurons, organoids, and assembloids. Complies
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#00809026: – Requisition #:38567 Job Summary: The University of Colorado Comprehensive Cancer Center (UCCC) is seeking a PhD-level or equivalently experienced Bioinformatics researcher with a proven track
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: RESEARCH FIELD: Civil Engineering, Aeronautics, Mechanics, Informatics or related fields. RECIPIENT CATEGORY: Degree courses: Students enrolled in a PhD. Non-conferring degrees courses: Masters enrolled in
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. The current position deals with free-space optical transmission experiments. It will involve challeges with low SNR, atmospheric turbulence issues, coherent recevers and related signal processing algorithms
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develop and analyze mathematical models and algorithms that connect partial (and/or stochastic) differential equations, infinite-dimensional optimization, and statistical machine learning. The goal is to
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to the application deadline Experience from sea ice field work or polar expeditions Experience in work with oceanographic or meteorological data and models What you will do Apply, validate and improve algorithms