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activation and regulation during ageing by investigating how these responses change with differential ageing states (e.g. frailty states, rates of biological ageing etc.). This project will use approaches
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Performing atom probe tomography Application of deep learning algorithms for the correlation of the obtained experimental data and their analysis The majority of the work will be undertaken in Hamburg Your
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. Eligibility You need to meet the entry requirements for a QUT Doctor of Philosophy including any English language requirements. Enrol as a full‑time, internal student (unless approval for part-time and/or
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, governance, and regulatory compliance. The project is part of an interdisciplinary research team led by experts from the Opportunity Tech Lab within the Business School and the Faculty of IT at Monash
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profile in geo, environmental, energy, and material sciences. In this environment, we are a strongly mathematically oriented research group with a focus on the analysis of various problems in geophysics (in
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functional cell assays Interest in translational leukemia research and innovative imaging and omics technologies Bioinformatics experience, especially in R Ideally initial experience with image analysis, laser
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The Centre for Alcohol and Drug Research invites applications for a Ph.D. position in the field of prescription drug use (tranquilizers and related substances) among youth (both in and outside
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
functional assays such as cytotoxicity assays, ELISPOT, ELISA and cytokine release assays. Design and execute experiments in mouse models and assess efficacy of therapeutics. Perform histological analysis
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: The doctoral candidate will perform computational analysis of a combination of multi-omics data from the gut microbiomes of patients with Alzheimer's disease or Parkinson's disease. The candidate will use state
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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple