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computational models, applying statistical and machine learning methods, and integrating data across modalities to generate novel scientific insights. The Postdoctoral Fellow will lead manuscript preparation
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, implementation, and analysis of machine learning models for computer vision tasks (40%). Analysis of natural scene statistics in aquatic and terrestrial environments (40%). Design of models to learn texture
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Considered). Skills / Knowledge / Abilities Attention to detail and organizational skills. Ability to operate various office machines including computers, printers, and various software packages. Interpersonal
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learning environment. Ability to maintain good working relationships with vendors and outside agencies Able to handle multiple tasks or projects at one time meeting assigned deadlines KNOWLEDGE Broad
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biology, learning and memory, social and reproductive behavior, sensory and cognitive neuroscience, and neuroprosthetics. We are seeking outstanding candidates with experience in leading international
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University of North Carolina School of the Arts | Winston Salem, North Carolina | United States | 4 days ago
operate a multi-line phone system. Knowledge - Technical Ability to learn Federal Communications Commission (FCC) rules and regulations pertaining to radio transmissions. Ability to learn departmental
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conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in-distributed-wireless-systems/ Distributed MIMO
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, computational neuroscience, bioinformatics, robotics, or a related field Strong expertise in computational data analysis (e.g., behavioral analysis, signal processing, or machine learning) Experience working with
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relational database environments Apply and evaluate methods from causal inference (e.g., confounding control, bias assessment, sensitivity analyses) Apply machine learning approaches for predictive modeling
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, Ansible strongly preferred. Demonstrated familiarity with a range of computer hardware, software and peripheral equipment. Technical Knowledge and Skills: Demonstrable expertise in the administration of HPC