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intelligence, and multimodal learning. The main objective of this position is to develop novel generative AI methods for computer vision applications, with a particular focus on Diffusion Models and Vision
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applications for the position of Part-time teaching faculty. This is a joint position in the Khoury College of Computer Sciences and the Bouve College of Health Sciences. Responsibilities: Teach and develop
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molecular docking, molecular dynamics and free-energy methods (MD/FEP), machine learning for molecular design, and protein–ligand modelling. Experience bridging computational and experimental groups, and the
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existing courses, please see the Khoury College Graduate Catalog at: https://catalog.northeastern.edu/graduate/computer-information-science/computer-science/ Qualifications: We are seeking individuals
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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neuroscience, and brain-computer interfaces, machine learning and deep learning, statistical modelling, regression methods, and uncertainty quantification, calibration, interlaboratory comparisons, and
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Supervise and train lab coordinators and assist faculty on lab management system. Communicate and coordinate with the IT department regarding computer/network related issues. Teach two language courses
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algorithm development and system performance. Technical Focus Areas Computer Vision and Model Development: Design and train deep learning models for insect classification and morphological recognition
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University of North Georgia is a University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
); Relevant research experience in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer