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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/research
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cavity chemistry. This effort is intended to be innovative, nationally competitive, and aligned with emerging federal priorities in quantum science and technology. In parallel, the incumbent will serve as
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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and computational approaches, including in vivo Massively Parallel Reporter Assays (MPRAs), to define the sequence basis and functional consequences of enhancer activity and to expand MPRA-based
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parallel. Careful documentation of experiments and data is expected, and you should have a strong commitment to maintaining high experimental quality and reproducibility. Proficiency in written and spoken
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will work in close synergy with Alessia Platania’s parallel research group at the Niels Bohr Institute, with regular joint meetings as well as research visits in both directions. The University of Graz
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. Members benefit from strong international connections and opportunities for collaboration. In particular, the Graz group will work in close synergy with Alessia Platania’s parallel research group
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given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel
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etc., please see: https://csrankings.org/#/indexai&vision&mlmining&nlp&robotics&bio&world and https://mbzuai.ac.ae/study/faculty-directory/ They will work on developing Artificial Intelligence (AI) and
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and place-based linkage. ● Experience working with large, complex datasets that may require novel data structures, indexing strategies, or parallelized workflows. ● Ability to work independently with