1,867 data-"https:"-"https:"-"https:"-"https:"-"University-of-Aberdeen" Fellowship positions
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. This prestigious Fellowship is aligned with the new Centre for Drug Discovery (CDD), a cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery
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ensure your success in the role. Further information is available by contacting Kehinde Obamiro on 0455 543 491 or via email to kehinde.obamiro@jcu.edu.au Back to job listing
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stage, nor is it intended to support doctoral dissertations. We also encourage small interdisciplinary teams of up to three people to apply with a joint project. Please find more information here about
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primary cell culture is desirable. Excellent oral and written communication skills with relevant computing and data analysis skills. Proven commitment to proactively keeping up to date with discipline
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to groundbreaking studies in Australia and Lao PDR, developing your expertise in life cycle assessment, soil science, and big data analytics. This role offers you the chance to directly impact global food security
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You can find more information about working at NTNU and the application process here . ... (Video unable to load
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. The qualitative study has 300 participants and 900 interview sessions. Contemporary research on crime relies mainly on perspectives and data from the Global North and especially Western Anglophone countries
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informatics proven experience in original research and scholarly activity experience in next-generation sequencing data analysis or integrative analysis of multi-dimensional data high-level skills in
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: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety testing Presenting
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spatiotemporal systems by combining physics-driven baselines with data-driven correctors. Formulate and solve inverse problems using Physics-Informed Neural Networks and relevant methodologies. Conduct rigorous