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of this position include: Collect thermal data from metal additive manufacturing process Develop cost-efficient and data-efficient AI models Perform process anomaly and material defects detection Implement real-time
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a highly motivated and interdisciplinary Research Fellow to
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Fully Funded PhD Position: Decoding Chromosome 1 Risk in AMD Using Stem Cell–Derived Retinal Models Host: Newcastle University (UNEW), UK Consortium: MSCA Innovative Training Network Pandora Start date
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qualifications: Experience with molecular modeling and/or structure-based drug design Salary: Commensurate with experience How to apply: Interested applicants apply online at https://slu.wd5.myworkdayjobs.com
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operations across multiple departments. Transforms manual processes into AI-driven solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI
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evaluate large language models (LLMs) assisted methods for extracting, organising and assessing complex scientific information related to materials. The initial application will be phase diagrams and related
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Fellow who will support key aspects of a mixed-methods policy evaluation. The Research Fellow will support a multi-year evaluation of Michigan's Partnership Model of school and district turnaround
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the same genetic material generate markedly different cells, and how this information is encoded within the genome. We utilize stem cells and cancer model systems, though projects range across disciplines
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about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification Licensed Pharmacist Physical
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, and life insurance Learn more about working at UNL: https://go.unl.edu/aboutus The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual