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Field
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secondary bile acids have multiple signalling roles in the host and have been implicated in numerous disease states, including inflammatory bowel disease. Inflammatory bowel disease (Crohn’s disease and
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that has been investigated. Fertilization experiments have confirmed that K deficiency limits tree growth and forest productivity and mechanistic models have been developed that confirm the strong response
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also be responsible for preparing and utilizing chemical solutions in in-vitro experiments in a wet lab setting, maintain colonies of mouse models of human disease through husbandry and genotyping
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equivalent) in hand by July 1, 2025. Preferred Qualifications: Ph.D. (or foreign equivalent) in marine science or a related field. Familiarity with numerical modeling of marine ecological processes, and
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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CIHR-funded research project focused on exploring the immunometabolic pathways of macrophages and microglia in multiple sclerosis (MS). The Kaushik Lab is committed to fostering an inclusive and
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Hospital Bonn, the position will be affiliated with a newly established junior research group focusing on early detection of Alzheimer's disease using multiple layers of omics data and statistical modeling
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(EM) forward modeling, inversion, and applied EM studies. Within this team, the candidate will be responsible for the numerical development of inversion codes for both frequency-domain (FEM) and
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
erythematosus (SLE). This project will integrate biochemical, immunological, and imaging techniques, along with co-culture of patient-derived organoids and model organisms combined with various –omics approaches
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functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case