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. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including CRISPR, cloning and qPCR. In vitro cell
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for Nuclear Theory), and Washington University in St. Louis. The @NDB Hub anticipates hiring a post-doctoral research fellow who will join the project in September 2026 and will contribute to @NDB research
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Position Summary Plant defense is not a static biological process – it is influenced by dynamic factors such as ontogeny, morphogenesis, tissue type, and the circadian clock. Our research program
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associated clinical outcomes. The fellow will be responsible for identifying computational approaches for data selection, processing, and predictions/inference. The expected outcome of the project is to
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machine vision approaches, coupled with a strong interest in evolutionary questions. Preferred Qualifications Education: No additional education unless stated elsewhere in the job posting. Certifications
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microbiome data and/or analyzing sequencing data in a high-performance computing environment. Experience in BSL2 laboratory and familiarity with ELISA techniques. Demonstrated fieldwork experience in community
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-era quantum computers to fault-tolerant/error-corrected quantum computing and simulation, and to achieve quantum advantages in fundamental physics. Our postdoctoral fellows (PDs) work with faculty
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will contribute to our overall goal of advancing novel therapeutic targets for neurodegenerative disease. Candidates with backgrounds in computational biology, stem cell biology, or neuroscience
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imaging program involving molecular oncologists, cancer biologists, computational biologists, and imaging scientists focused on detecting breast cancer and predicting response to therapy. The position is
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level. The position requires working collaboratively with a team of experimental and computational biologists to integrate genetic and genomic data with mathematical modeling to better understand