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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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Role Overview: We are seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution
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institutions, departments, students, colleagues, and external partners. The position is within the subject area of Informatics, which at the University of Skövde, is defined as the science that studies how
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datasets and contributing to statistical analyses. The researcher may also contribute to manuscript preparation and help develop new studies that extend the lab’s mission of using data science to advance
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study how adaptive immune responses affect linked neurodegenerative diseases and to use the information gleamed to develop novel therapeutic directives to halt or prevent disease. The diseases for study
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working environment where academics can develop their careers and passion for their chosen subject area. We offer the full range of academic roles and have a genuine focus on our student’s performance and
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 12 hours ago
more than 150 areas of undergraduate and over 200 areas of graduate study. UNCG continues to be recognized nationally for academic excellence, access, and affordability. UNCG is ranked No. 1 most affordable
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Location: South Kensington (Hybrid) About the role: We are looking for a Postdoctoral Research Associate to join an Airbus- and Aerospace Technology Institute (ATI)-funded project to develop data
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, naturalistic behaviour. The research will centre on immersive virtual-reality object-sorting and object-copying paradigms, complemented by in-person and online studies. The postholder will develop and validate
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modelling, numerical development and the analysis of physical phenomena. In particular, they will be involved in designing models suited to the systems under study, their numerical implementation, and the