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required. Preference will be given to individuals with hands-on experience in RNA and/or epigenetic technologies. Bioinformatics or animal management skills are a plus. The Herman B Wells Center
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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/statistical/experimental biology, integrated with single-cell multi-omics, such as computational/statistical genomics and structural proteomics, bioinformatics, biological imaging, biomolecular structure
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professor level. This is a scientist track non-tenure position. The successful candidates must have a Ph.D. degree in computational biology, bioinformatics, quantitative genetics, molecular biology and
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. Leadership opportunities will be available for qualified individuals. Candidates with experience/training in molecular pathology and bioinformatics along with strong clinical or translational research
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more than 2 years of postdoctoral fellowship training. The candidate must have expertise in cardiovascular disorders, specifically Marfan syndrome and related disorders. Bioinformatic capabilities
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determinants of health, and integrative bioinformatics strategies, with a special focus on AI/machine learning approaches to derive new clinical insights at scale. Basic working knowledge or publication track
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of biological questions and experimental systems – from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and
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-brain barrier research. Ideal candidates will have: 1.A PhD in the life sciences 2.A solid background in cell culture and tissue engineering approaches 3.Knowledge in Neuroscience and Stem Cell Research 4
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computational and bioinformatic approaches for genetic discovery, phenotypic delineation, or therapeutic development. All areas of genetic disease research will be considered and candidates with programs focused