23 modelling-complexity-geocomputation Postdoctoral positions at University of Central Florida
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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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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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Optimization:Design, build, and fine-tune LLMs and other AI models to address complex challenges in multimodal learning.Develop scalable and efficient architectures for deploying models in real-world environments. 3
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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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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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Psychology, Cognitive Sciences, Modeling and Simulation, Computer Science, Measurement and Statistics, or a related field is required. The candidates must have research experience in one or more areas
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. Your time at UCF will provide you with many meaningful opportunities to grow, you’ll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you’ll
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campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you’ll work alongside talented colleagues on complex
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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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computer science, statistics, computer engineering, artificial intelligence, machine learning, complex adaptive systems, agent-based modeling, agent-based computation economics, data science, computational