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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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for the early detection of mild cognitive impairment (MCI) and prediction of its progression to Alzheimer¿s disease through the analysis of corneal nerve images. You will be based in the Institute of Life Course
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will be offered an a fixed term contract until 31/12/26 About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria A PhD in
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Liverpool where, in the School of Computer Science and Informatics, we have an active group of PhD students, postdocs, and academics working at the intersection of Machine Learning, Verification and
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presentations to stakeholders where appropriate. ¿ To identify and engage in personal development opportunities to support your career development. You should have a PhD in nutrition, public health
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and glycan-based vaccines. Undergraduate and PhD research projects can be integrated into the projects, and you are expected to interact with and co-supervise those projects. Additionally, some teaching
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engage in personal development opportunities to support your career development. You should have a PhD in nutrition, public health nutrition or a related field (i.e. nutrition related) and minimum
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that are at greatest risk. Wastewater surveillance potentially offers a scalable surveillance tool for the detection of spillover infection and human transmission of viral families of concern. We are funded by the Gates
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utilizes a flexible and advanced detector setup to investigate nuclear structure and astrophysical processes through the detection of decay radiation from exotic nuclei. Experiments are currently being
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Inzani. Candidates should hold a PhD in materials science, chemistry, physics or similar. Please include a CV and cover letter in your application detailing your fit to the criteria in the role profile