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of phosphoinositide 3-kinase (PI3K) signaling in allergy, metabolic control, obesity, diabetes and cancer; see https://p3.snf.ch/project-189065 ii) developing and validation of novel chemical probes and degraders
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, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary Rutgers, The State University of New Jersey, is seeking a highly qualified candidate for a Postdoctoral Research Associate
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particular strengths in nutritional and computational metabolomics, dietary biomarkers, micronutrient metal nutrition, nutritional immunology, marine food science, plant based foods, food biotechnology and
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Disorder Cocaine use disorder (CUD) remains a major public health challenge with no approved pharmacological treatments or predictive biomarkers. Emerging evidence suggests that the gut microbiome plays a
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (www.foylab.xyz/) https://foylab.xyz/ , developing machine learning, computational, and mathematical models for improving
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thoracic malignancies based on tumour and patient characteristics. You will play a central role in the analysis of biomarker data of the DEDICATION-1 trial (PMID: 38089058), a clinical study in advanced
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Postdoc Position for Computational Genomics, AI Precision Oncology, Cancer Biology and Immunobiology
University of Pittsburgh, Pittsburgh , Pennsylvania, US | Pittsburgh, Pennsylvania | United States | about 2 months agobiomarkers (IGR burden, TAA burden, IMPREG signature) for immunotherapy patient selection, especially for TMB-low and PD-L1-negative cancers where current tools fall short. AI-powered precision oncology: Build
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to integrate and analyze genomics, transcriptomics, proteomics, metabolomics, and microbiome datasets to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project
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health challenge with no approved pharmacological treatments or predictive biomarkers. Emerging evidence suggests that the gut microbiome plays a significant role in addiction-related behaviors by
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analysis, and digital biomarkers. The department has a strong data science environment, with an additional team of three to four data scientists working across related cardiovascular research projects. As