20 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions at University of Florida
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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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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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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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: Measuring the dynamic impact of personal social networks on language learning outcomes (NSF-2341628) led by Dr. Eleonora Rossi in the Department of Linguistics, together with an interdisciplinary team of co
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development for data interoperability and system integration. Experience working with digital twin platforms, simulation environments, or real-time sensor data. Prior contributions to research software, open
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neurodegenerative diseases and iPSC-derived neurons representative of the disease. Testing promising compounds for their in vivo pharmacokinetic properties in wildtype and mouse models for neurodegenerative diseases
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. Experience leading investigations linking simulations to observational data. Experience with statistical characterization of data, preferably within a Bayesian framework. Job Description: A Post-doctoral
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protostellar evolution models to radiative transfer grids. The goal is to synthesize these protostar models into protocluster models and compare them to JWST and ALMA data. The applicant must have a Ph.D. in
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fibroids and eliminating fibroid health disparities. The project will provide education on fibroid symptoms/management, identify barriers to care, and improve risk prediction models to identify women with
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ability to analyze large datasets Knowledge of coastal and nearshore processes Preferred Qualifications: Proficiency in statistical modeling and time series analysis Experience with machine learning or deep