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, of conducting complex analytical analysis to a high quality, using a range of advanced statistical or modelling techniques such as multi-level models, Bayesian approaches, latent variable models or Markov models
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following areas of clinical focus: · Cancer: imaging, molecular profiling, treatment selection, and response. · Neuroscience. Neuroimaging, neurophysiological signal, and models of disease
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cells in disease, aligning preclinical models with human data. We have previously shown how clone location and exposure to oncogenic signals determine tumour forming potential. The aim of this project is
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to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health This position is intended to be eligible for benefits . This includes Health, Dental, Vision, Life Insurance, a
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dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health This position is intended to be eligible for benefits . This includes Health, Dental, Vision, Life
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management of internal service roles. Significantly contribute to external activities relevant to the discipline/profession and community engagement. Model a high standard of professional behavior consistent
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, performance measures, forecasting tools, and staffing models that support both operational excellence and long-term growth. The position partners closely with executive leadership, academic units, government
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» Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Sep 2026 - 00:00 (Pacific/Saipan) Country Germany Type of Contract Temporary Job Status Full-time
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implementing ground-breaking heat exchanger technologies that advance both theory and practice. From enhancing heat transfer models to building experimental test rigs, you’ll be at the forefront of engineering
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Loyola University of Chicago - Cell and Molecular Physiology Department | Maywood, Illinois | United States | 23 days ago
. Careful but not exclusive consideration will be given to applicants who use non-traditional models alongside innovative biophysical, 'omics, and live imaging approaches to address fundamental knowledge gaps