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. The Wellcome Bioimaging project to accelerate cutting-edge bioimaging technology development, is a five-year cross-disciplinary programme, led by Professor Maddy Parsons from the School of Basic & Medical
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The Japan Society for the Promotion of Science (JSPS) has established the JSPS Postdoctoral Fellowships for Research in Japan – Short-term program. A limited number of promising early career
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and will collaborate within a multidisciplinary research environment. The training program focuses on building technical experience, methodological rigor, and an understanding of regulatory science
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National Center for Toxicological Research (NCTR) | Jefferson, Arkansas | United States | about 1 hour ago
and will collaborate within a multidisciplinary research environment. The training program focuses on building technical experiences, methodological rigor, and an understanding of regulatory science
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The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in the Division of Mathematical Sciences (MAS) and the Division of Physics and
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(HPLC, LC-MS, and GC), as well as computational tools. An integral part of the work will be the integration of biological data with medicinal chemistry principles to identify the most promising molecular
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Position Title: Research Fellow - HTX Computational Scientist Job No.: 695431 Location: Parkville campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $123,138
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available in the DELTA core function of the NIHR Maternity Disparities Consortium , a £50million national programme that aims to improve maternity and neonatal outcomes across the UK and reduce inequalities
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(HPLC, LC-MS, and GC), as well as computational tools. An integral part of the work will be the integration of biological data with medicinal chemistry principles to identify the most promising molecular
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Sustainability, computer science or a closely related field with relevant working experience High level analytical capability Ability to communicate complex information clearly Fluency in relevant models