34 computer-security "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at University of Florida
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
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research team. Strong attention to detail and adherence to safety protocols. Proficiency in Microsoft Word, Excel, and PowerPoint. Demonstrated interest in pursuing extramural funding (e.g., NIH F32, K99
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of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org
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spending accounts, employee wellness program, and employee assistance program Financial security via our life and long-term disability insurance, accident and illness insurance Plan for your future with
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Classification Title: Research Assistant Professor Classification Minimum Requirements: Ph.D. in Biomedical Informatics, Biostatistics, Public Health, or a related field. Demonstrated expertise in
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. Job Description: The JaxLab program of the School of Architecture (SoA) at the University of Florida (UF) is hiring two Postdoctoral Associates as part of a coordinated team effort, each with a distinct
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susceptibility to online and offline experiences and exposures; c) applications of computational social science methods in developmental research (e.g., use of large language models (LLMs) and other advanced
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. Experience and a strong record of publication in aquaculture and restoration of marine species and systems is required. Strong capacity for statistical computing in the R program and demonstrated scientific
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and structure modeling for protein, RNA, or small molecule. Apply computational techniques, data analysis, and visualization methods for ongoing studies. Train and validate large deep learning models
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, or a closely related field. Preferred: Prior experience with cell culture and tumor models in cancer research. Demonstrated success in securing external funding or contributing substantially to grant