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About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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committed team and offers an interdisciplinary scientific environment, cutting-edge laboratories and a creative working atmosphere. The PostDoc will be part of the nitrification group headed by Michael Wagner
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in conjunction with key industry partners, it represents a seamless collaboration between UCC, Teagasc Moorepark. It is widely recognised that the gut microbiota plays an important role in human health
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, particularly in techniques such as Schlenk line, glove box, powder X-ray diffraction, electron diffraction, electron microscopy, and porosity analysis. The candidate is expected to have a thorough understanding
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of efficient and robust neural networks. About your role: Independent research in the area of mathematics of machine learning, focusing on the development as well as the analysis of different algorithms and
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of Medicine). This interdisciplinary collaboration provides an opportunity to work across departments/schools and contribute to advancing the early detection of Alzheimer's disease through innovative
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-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Utilize follicle and ovarian culture, biomechanical analysis, transcriptomics, proteomics, histologic approaches
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technology. You can benefit from on-going research on innovative metabolomics, lipidomics and proteomics approaches for single cell analysis and exosome fractions. This project is part of the Biotech Booster