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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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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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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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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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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
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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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will focus on understanding structure–property relationships in hard carbon, with particular emphasis on microstructure, surface chemistry, and solid electrolyte interphase formation. In parallel
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, sequencing, molecular cloning and genetic engineering techniques, DNA fingerprinting, MLST typing etc. Whole genome sequencing using Illumina MiSeq or similar platform. Participating in parallel work on other
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of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility
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posts are designed for career development, and the successful candidate will undertake a PhD in parallel with their teaching and research support.You will be part of a large, vibrant, highly collaborative