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in the fields of synthetic biology, photonics, and quantum technologies. More details about the SiP Lab can be found at: https://www.mq.edu.au/faculty-of-science-and-engineering/our-research/silicon
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Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
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and validation of a predictive pipeline for excipient–biologic interactions Integration of experimental SAXS data with AI-driven structural modeling to predict oligomerization behavior and excipient
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credentials. Required qualifications: A master’s degree or equivalent in engineering, environmental sciences, environmental engineering, data science, systems modelling, applied mathematics, or a closely
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modeling. For more details, please view https://www.ntu.edu.sg/cee . We are seeking a Research Fellow to contribute to cutting-edge research in multiscale clay science and geotechnical engineering. The
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physics Solid programming skills Desired qualifications: Experience in statistical physics, solid mechanics, or fluid mechanics Experience with data-driven modeling, parameter estimation, or model
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-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain Biotechnology: Host strain screening and engineering for microbial bioprocess development; microbial
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approaches. Machine Learning in Geotechnical Engineering: Utilising data-driven approaches to model and predict soil-structure interactions or other complex geotechnical problems. Reliability-Based
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Biological/Biomedical Sciences Engineering Medical - Research Internal Number: A-180182-26 General Description PREP Research Associate This position is part of the National Institute of Standards (NIST
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vivo (e.g., brain organoids) and in vivo (e.g., mice) experimental models. Our Group collaborates with colleagues based in two international consortia: CHARGE and ENIGMA. Our research takes place in both