16 advance-soil-structure-modelling Postdoctoral positions at University of Central Florida
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with mobile health (mHealth) technologies 3. Knowledge of advanced statistical methods (e.g., structural equation modeling, multilevel modeling) 4. Research or clinical experience with individuals with
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, analyzing, and using multimodal multichannel data (e.g., log files, eye tracking, physiological sensors, facial expressions of emotions, etc.) across different advanced learning technologies (e.g., game-based
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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Responsibilities Research: - Conduct research in AI reasoning, semantic modeling, and knowledge graph development. - Develop and optimize graph databases for structured knowledge representation. - Apply neural
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modeling methods to design novel catalytic materials for energy and sustainability. Responsibilities: The postdoctoral researcher will work on the computational design of materials for electrocatalysis
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integrate in vivo mouse models and proteomics via mass spectrometry to uncover mechanisms of immune reprogramming and therapeutic response. Minimum Qualifications: PhD in Biomedical Sciences, Bioengineering
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, Duke Energy, Siemens, Walt Disney World, and NASA, to name a few. The Opportunity The School of Modeling, Simulation, and Training (SMST) is seeking a highly motivated Postdoctoral Scholar to join our
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models of surface change for comparison with morphometric analysis of visible remote-sensing observations of Mars and icy worlds Minimum Qualifications: PhD in engineering, planetary science or any related
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: Participate in research activities. Attend a grant writing workshop, participate in a research workshop and attend courses related to advanced statistics. Present at the conferences to build research
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references. If you advance to the final stage of the application process, references will be contacted via automated email, which may be filtered into spam or junk folders. We recommend informing your