30 density-functional-theory-molecular-dynamics Postdoctoral positions at University of Florida
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unravel the complex relationships between land use changes and fire regimes over the past 60 years. The successful candidate will lead efforts to: Develop advanced deep learning algorithms for classifying
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additional AD risk genes and to develop disease models. Work on the projects studying molecular mechanisms that recently identified Alzheimer’s disease risk repeat expansion variants contribute to disease
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: Laboratory experience in molecular biology techniques Demonstrated ability to work independently and manage multiple projects Strong problem-solving skills with proven ability to troubleshoot technical issues
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: The candidate must have a Ph.D. (or MD/PhD) in biological sciences such as molecular biology, cell biology, cancer
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highly motivated and skilled postdoc to work on a project using comparative venomics and microbiomics to assess the evolution of venom complexity in social and subsocial spiders. This interdisciplinary
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. Preferred: Expertise in Evo-Devo methods, genetics, genomics, molecular biology, neurophysiology, microscopy, and/or behavior methods. Demonstrated ability to critically think and work independently. Strong
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Classification Title: Postdoctoral Associate Job Description: The Laboratories of Drs. Ramon Sun and Craig Vander Kooi are seeking a talented postdoctoral fellow to work on molecular imaging
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dynamic and team-oriented research program. Successful candidates will work in a cutting-edge research environment with new state-of-the-art facilities. The laboratory has outstanding facilities for cell
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dynamic and collaborative environment. Must have PhD in Chemistry. This position will be initially awarded for one year, and, contingent upon strong performance and conduct and availability of funds, may be
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) that far exceeds the number of microbial NPs known to date. It is now possible to map the global microbial NP landscape and predict their structural complexity and rich functionality by genomics