12 algorithm-phd-"Texas-A Postdoctoral positions at University College Cork in Ireland
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: • PhD in molecular biology, biochemistry, biotechnology, immunology or related field • Proven wet lab experience in NGS, qPCR, Western blotting, or immunofluorescence, molecular biology, cell culture
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with the Principal Investigator Professor Cormac Sreenan and the gVID project Technical Lead. A suitable candidate will have a PhD, 8 years of research/industrial experience and a keen interest in
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will be expected to perform research and development in these areas, within an established group of researchers, PhD students, MSc students and undergraduate final year students. Two applications will be
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, Mathematical Modelling and Self-Learning Systems, and Data Science and Analytics as well as a strong PhD programme. The Mathematics Group comprises nine permanent members of staff working across the areas
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the area constraint programming, machine learning, and artificial intelligence within an established group of researchers and PhD students. The nature and structure of the Phase 2 Research Ireland Centre
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team. The scientist must hold a secondary degree in a relevant life sciences degree and a PhD in vaccine immunology. Experience in examining vaccine-induced immunity, multi-parameter flow cytometry
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cancers and inflammatory conditions. The research project is supported by a Research Ireland-funded Frontiers for the Future Award programme. We are seeking highly motivated candidates with a PhD and
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attainment. The ideal candidate will have a PhD in a relevant discipline, with strong community research and qualitative analytical skills, and a background in climate and/or energy transition
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Centre at University College Cork. The ideal candidate should be a quantitative, analytical researcher with a PhD in engineering, science, or economics, or a field related to energy, and a demonstrated
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hold a PhD degree in Food Science, Packaging Science, Chemistry, Material sciences, Food Engineering or a related science discipline. Experience in packaging science, shelf-life analysis, chemical