46 algorithm-development-"Prof"-"Washington-University-in-St" Postdoctoral positions at Duke University
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integrate into active projects aimed at developing resource responsible, economically viable solutions to challenges in the food production and critical material systems. There will be the opportunity
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. Responsibilities include: - Development of new and implementation and modification of existing experimental procedures. - Data preparation and contribution to oral presentations, grant applications, and publication
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the dynamics of microbial communities in time and space. Ongoing projects address questions on bacterial responses to antibiotics, the implications of horizontal gene transfer in community dynamics and evolution
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interdisciplinary organization with a goal to develop vaccines and therapeutics for HIV, influenza, SARS-CoV-2, and other emerging infections. DHVI is seeking a Postdoctoral Associate to join our team in developing
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Development. Prior to writing an application, applicants should contact at least two ITEHP faculty members with whom they propose to work to discuss a possible research project and how the project will
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differentiation and melanoma and multiple myeloma biology utilizing cultured cells and animal models of skin diseases. Work Performed • Development of new and implementation and modification of existing
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fellowship and/or grant applications as appropriate for the development of your career • Present research findings at local and national scientific meetings Definition The Postdoctoral Appointee holds a PhD or
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://sites.duke.edu/yanglab/). Be part of a dynamic, interdisciplinary team working to unravel the unknown functions of membrane ion channels and lipid transporters in human health. Develop novel therapeutic approaches
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mechanisms underlying risk for addictive disorders—with a primary focus on tobacco dependence and relapse—and translating this information to develop more efficacious interventions. This position is supported
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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and