15 scholarship-phd-agent-based-modelling Postdoctoral positions at University of Central Florida
Sort by
Refine Your Search
-
, and implementation of medical devices, software, operational workflows, realistic spacecraft, and mission environment models for display on immersive screens and physical prototypes using 3D printing
-
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
-
independent postdoctoral fellows with training and expertise in agent-based modeling, neural networks, social network analysis, machine learning, data analytics, computational economics, or computational social
-
mission of unleashing the potential of every individual, enriching the human experience through inclusion, discovery, and innovation; and propelling broad-based prosperity for the many communities we serve
-
, 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
-
, 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
-
mutual agreement. The Scholar will work with a team of faculty and students from UCF Chemistry, Optics, and Electrical Engineering who are developing new approaches for modelling, fabricating, and
-
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
-
the Large Language Models (LLMs). The successful candidate will work on pioneering research projects that push the boundaries of what AI can achieve, particularly in the domain of multimodal learning. You
-
, ECCV, ICML, NeurIPS, and ICLR annually. Additionally, contribute to teaching the CAP6411 course. Minimum Qualifications: PhD in Computer Science or another related field Preferred Qualifications