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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact cross-functionally: work with people across the team to find creative solutions
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Positions Country Poland Application Deadline 30 Sep 2025 - 00:00 (Europe/Warsaw) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a
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that directly relate to this position. The Draelos lab, in the departments of Biomedical Engineering and Computational Medicine & Bioinformatics, is seeking candidates for a postdoctoral research fellow position
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and with this GSI position. Please include your University Program and year in graduate studies. Course Description CSC 275 - Problem Solving and Programming II CSC 175 with a grade of C (2.0) or better
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discourse. In an increasingly polarized world with pervasive algorithm-driven exposure to self-reinforcing beliefs and perspectives, students lack sufficient opportunity and ability to truly engage with ideas
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Informatics Overview New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all
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other Harvard Medical School-affiliated hospitals. Analyze sequencing data, for example from RNAseq, ssRNAseq, and ChIPseq experiments Deploy existing programs and algorithms to evaluate other
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-read sequencing data to understand the penetrance, expressivity and biomarkers associated with the most common genetic cause of motor neuron disease and front temporal dementia, a repeat expansion in the
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education required Experience with analysis protocols and meticulous lab analysis methods is required. Experience with computer algorithms, higher level computing associated with Python code in the Linux
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blind and low-vision individuals in navigating both outdoor and indoor urban spaces. The project's initial phase will employ machine learning models, computer vision algorithms, and real-time sensory