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for the development of innovative host-directed broad-spectrum antiviral therapeutics COMPETE2030-FEDER-00852800 under the following conditions: 1. Scientific Area: Biomedical Sciences. 2. Funding Source Foundation
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Machine Learning within the School of Medicine at the University of Limerick. This is a methodologically focused PhD for candidates with strong quantitative backgrounds who wish to develop novel statistical
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working for about fifteen years on the development of short-term forecasting systems designed to anticipate these phenomena by a few hours. Better anticipation should allow civil protection and emergency
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machine learning and AI methods to develop clinical decision support systems for high-flow nasal cannula therapy. The project: Concerns around the possible negative consequences of delayed escalation
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Training Program (RTP) Fee-Offset a four-year project expense and development package of $13,000 per annum a three-month industry engagement component with Gelomics a structured professional development and
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applications. It will be carried out within the Nuclear Structure and Energy (SEN) group at SUBATECH using the newly developed, hybrid Total Absorption Spectrometer (TAS) called STARS. TAGS is the preferred
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for the development of innovative NK-cell-based immunotherapies. The project combines fundamental immunology with translational research. Research Environment The successful candidate will join the Innate Lymphoid Cell
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
, with a focus on the design and development of advanced sorbent materials for environmental and gas-cleaning applications. The research subject “Engineering Materials” has ongoing research programs span
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Fully Funded PhD Studentship (Home Fees) Project Title: Developing Fair and Robust Cancer Risk Prediction Models Using Health Data Supervisor: Professor Angela Wood (Professor of Biostatistics and
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Unit (UMR5574) under the supervision of Université Claude Bernard Lyon 1, ENS de Lyon, and CNRS. CRAL is a laboratory dedicated to fundamental research in astrophysics and the development of instruments