26 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at University of Florida
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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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. The long-term goals of our research are to understand at a molecular level how Actinobacteria synthesize complex natural products and to exploit this knowledge to discover novel natural products to impact
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Ability to take initiatives, set priorities, time-manage, and resolve problem Job Description: A Post-doctoral associate in molecular biology, NGS sequencing, bioinformatics, nanopore sequencing is
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to join a dynamic and interdisciplinary research environment focused on developing innovative AI/ML solutions for healthcare and biomedical research. The successful candidate will join a collaborative
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Casamento-Moran within the Department of Applied Physiology and Kinesiology at the University of Florida. The successful candidate will join a dynamic, interdisciplinary team investigating the neurobiological
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investigators. The work will focus primarily on developing novel therapies for patients with intractable neurological and psychiatric conditions using a combination of device development, computational modeling
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postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning. Dr. Liu's
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dynamic academic medical environment. In the first year of the program, the selected candidate will collaborate with the UF Health Center for Autism and Neurodevelopment (UF Health CAN), under the
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-Grant system. Candidates must also have a commitment to UF core values . Preferred: General understanding of Lake Okeechobee, Florida ecosystems specific to wetlands. Hydrologic modeling and geospatial
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)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular