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Hospital. The post is funded by the National Institute for Health and Care Research (NIHR) Invention for Innovation (i4i) programme. It is anticipated that a DPhil in Surgical Sciences will be undertaken as
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responsibilities will include: Develop Diagnostic Assays: Plan and execute laboratory and computation processes to create and optimise diagnostic tools for infectious diseases. Conduct Molecular Research: Utilise
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on CAD and/or Finite Element Analysis for design and drawing of components. Assist on project and grant management support for the co-directors. Job Requirements: Ph.D. in Materials Science, Mechanical
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) Based at our Herston Campus . About This Opportunity Join a nationally significant program driving innovation in clinical trial methodology at one of Australia’s leading research institutions
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 1 month ago
that enhance mental and physical well-being. Some of the key research initiatives include the Prostate Cancer Patient Empowerment Program (PC-PEP) (pcpep.org ), the Cancer Patient Empowerment Program
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(c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and
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significant intellectual freedom. The appointee will design and execute programs that leverage the chemistry of small and light-activated molecules for non-equilibrium DNA systems; characterise materials using
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responsibility for: Designing, implementing, and overseeing large-scale team projects, including multi-year projects, in collaboration with Analysis and Data teams to ensure projects support CSET's data-driven
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Specifically, the appointed research fellow
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and human cell lines, using multistage fragmentation (MSⁿ) data and computational methods and approaches (e.g. spectral matching, network-based approaches, and machine learning techniques, etc). Design