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predict cancer progression. We use a combination of experimental and clinical data paired with computational analyses to model tumor evolution. We seek a postdoctoral candidate who will apply a combination
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/user behavior, Collect and analyze human performance data (reaction times, workload, situational awareness, eye tracking, etc.), Develop and validate computational models of human behavior in driving
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The ideal candidate will have extensive expertise in the areas of neuroendocrinology, multimodal neuroimaging data analysis, and non-linear developmental statistical analysis (e.g. generalized additive models
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electrophysiology, chemogenetic and optogenetic circuit manipulation, Inducible conditional knockout mouse models, and Pharmacological interventions. The successful candidate will use these cutting-edge approaches
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investigate systemic immunity, the tumor microenvironment (TME), and the mechanistic drivers of resistance to radiation and immunotherapy utilizing advanced pre-clinical models of head/neck and pancreatic
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the names of three references. In the cover letter, describe your fit for the position and name one specific question about this system that you would want to answer, and how you would approach it. A
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. The candidate will work closely with computational modeling collaborators to validate reactor designs and optimize operating parameters. The candidate will be expected to contribute to report preparation
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
the ecosystem model estimated carbon storage for the same locations. Education and Experience: Preference with be given to application who have relevant publications in the respective fields. Create a Job Match
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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cardiovascular disease prevention and chronic disease modelling. Funded by the European Society of Cardiology, the successful candidate will join the Health Economics and Policy Evaluation Group within