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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact
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(or equivalent experience) in computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field • Strong Python programming skills • 0-2
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the healthy human brain, with future applications in neurodegenerative disorders. This position supports a broader effort to understand brain clearance mechanisms and their relationship to traumatic brain
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shoulders up to 25 pounds. Standing and sitting at computer terminals and laboratory bench completing repetitive tasks for extensive periods of time. Continuous working with materials requiring personal
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lab studies gene expression-regulation mechanisms. We are recruiting computational biologists to collaboratively develop software approaches to analyze high-throughput sequencing (-omic) data. We
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The Nima Sharifi Laboratory is seeking to recruit outstanding postdoctoral associates with aprimary interest in the fundamental mechanisms of human biology, biochemistry, metabolism, genetics
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mechanical properties. The postdoc is to build and successfully execute the project within the lab’s research program through collaboration with the PI and the group members. At least a PhD in Chemistry
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breeding, mechanical engineering, and computer science fields, and is expected to work in a team and independently as needed. -Other job related duties as needed. Required Education and Experience: PhD in
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Morris with your CV (including a list of publications), a brief letter explaining your suitability for the rule, and the names of at least two references. Computational Logic Center The postdoctoral
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are seeking a highly motivated and creative postdoctoral researcher to join our team investigating the mechanisms of transcription factor (TF) binding to nucleosomal DNA. This position is supported by a funded