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interdisciplinary research group at the University of Sheffield combines ecological theory, empirical data and advanced quantitative methods to tackle important questions in fundamental and applied ecology. Our
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experimental colleagues without formal automation training. Develops customized automated platform and method supporting new kinds of assays and experiments. Understands the analytical needs of new experiments
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: The competition is open from October 5, 2026 to October 19, 2026. 13. Method of submitting applications: Applications can be formalized through the UPB application submission portal (http
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projects that support and enable groundbreaking research at the faculty. Learn more at: https://www.mie.utoronto.ca/student-life-services/machine-shop-professional/ Under general direction of the Machine
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to the Voluntary Social Security, in case of adherence to this plan. 11. Selection methods: The selection methods to be used will be the following: curriculum vitae assessment, with a potential interview, only
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Perform research on Industrial AI, develop novel AI methods, prepare Project and Project requirements. Represent
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analysing quantitative research data. Experience of contributing to mixed-methods research in health, social care or a related field. Good organisational skills, attention to detail and ability to maintain
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-domain (FDTD) or finite-element methods Ability to independently plan experiments, analyze data, and communicate results in peer-reviewed publications Preferred Hands-on experience with cleanroom
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, review work for quality and accuracy, and ensure that research procedures and analytical methods are implemented appropriately. The position includes formal supervisory responsibilities in
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, Computational Design Methods for Engineering Design The Engineering Design and Computing Laboratory has a fully-funded doctoral position to work on cutting-edge research combining Large Language Models (LLMs