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                We are seeking a highly motivated post-doctoral researcher of outstanding calibre to join our research program in the area of fibre optics and photonics. The position is funded by an EPSRC 
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                Description The Davis Lab of Plant Biodiversity at Harvard University is seeking an exceptional postdoctoral researcher to work with us on forecasting species distributions of medicinal plants and assessing 
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                applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed institution, which 
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                . Supported Areas for START - Engineering Energy Resilience: Power electronic converters for distributed energy resources and microgrids; High voltage DC transmission and distribution components and systems 
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                concerning the distribution and consumption of music, using methods associated with computational social science. The successful candidate will also be expected to contribute to the formulation and submission 
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                As part of the Oxford Global Health Initiative (OGH, https://www.globalhealth.ox.ac.uk/), the Department of Biology at the University of Oxford is seeking two highly motivated and capable 
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                As part of the Oxford Global Health Initiative (OGH, https://www.globalhealth.ox.ac.uk/), the Department of Biology at the University of Oxford is seeking two highly motivated and capable 
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                applications. Working Conditions Needs to be able to successfully perform all required duties. Office/research environment; some travel and weekend work is required. UTRGV is a distributed institution, which 
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                Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 1 day ago/theoretical study of the evolution of the growth rate distribution of E. Coli in a chemostat. The starting point is the standard chemostat model, which describes the time evolution of glucose level and the 
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                populations and biobanks for risk prediction, genetic discovery, and genomic medicine. Federated and transfer learning for distributed and privacy-preserving data integration. AI and Deep learning approaches