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Field
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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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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
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through both academic and non-academic channels The project is multidisciplinary and in the project you will join a large team of researchers from different universities and disciplines. For this reason it
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collaborate with PhD and other post doctoral fellows, in cross-disciplinary collaborations with other research groups both national and international as well as with industrial partners. Qualifications A PhD
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of science to applied technological research and partnership with industry. Your Tasks, Core Themes Candidates will have the opportunity to pursue one or more of the following core themes: 1. Large Pre-Trained
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for public policy, and the relationship between business and democracy. We have a large group of faculty committed to examining the role of money in politics and non-market strategy. Faculty apply advanced
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
or a related discipline, with an emphasis in numerical computation intermediate to advanced skills in large data analysis and manipulation, including programming in different languages including Matlab
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also collaborating with the PI and graduate students. Opportunities to Contribute Performs research and development on laser spectroscopic ranging and imaging systems. Analyzes research data and
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collaborate with PhD and other post doctoral fellows, in cross-disciplinary collaborations with other research groups both national and international as well as with industrial partners. Qualifications A PhD
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, including but not limited to cancer, metabolic disorders, and infections. The research design involves the integration of large-scale biological datasets derived from both the host and the microbiome