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, publications, and computing. The initial appointment will be for one year but could be extended by two additional years contingent on performance and availability of funding. The intended start date is March 30
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. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film
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of integrating advanced optical technologies with machine learning techniques to develop novel, high-performance fibre-optic sensing applications. You will be responsible for the application and validation
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that are commonly used in the group include Python, high-performance computing, MPI, OpenMP, Commander, Git, and LaTeX. Familiarity with some of these concepts will be an asset, but is not required at the time of
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imaging, head & neck imaging) and development of novel imaging techniques (nuclear and molecular imaging, computational imaging, etc). With the formation of the National University Health System (NUHS
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of the application. The candidate is invited to upload any additional documents to the “other documents” tab as needed. Skills and Knowledge: Experience with molecular simulations and high-performance computing
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candidate will be at the forefront of integrating advanced optical technologies with machine learning techniques to develop novel, high-performance fibre-optic sensing applications. You will be responsible
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hospital in Colorado 7 years running. The department has a robust research infrastructure and offers extensive opportunities to learn the basics of high-quality clinical research and participate in cutting
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of bioinformatic analysis of microbial genomics data High level analytical capability Ability to communicate complex information clearly Contribute to the planning and organising of the research programme and/or
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Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational