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the role: Overview of the role We are seeking a highly motivated Machine Learning Research Scientist to join the PharosAI team. This role is focused on developing and implementing novel methods
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The Role Overview of the role We are seeking a highly motivated Machine Learning Research Scientist to join the PharosAI team. This role is focused on developing and implementing novel methods
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
) Work Unit Bioinformatics and Genomics Work Location NC Research Campus Vacancy Open To All Candidates Position Designation Post Doc Employment Type Temporary - Full-time Hours per week 40 hours per week
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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Job Category Faculty Non Bargaining Job Title Postdoctoral Fellow Department Rahmim Laboratory | Department of Radiology | Faculty of Medicine Posting End Date September 29, 2025 Note: Applications
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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, single-cell analysis, and machine/deep learning (preferred but not required). Strong programming and statistical skills (e.g., Python, Perl, R, Bash). Track record of first-author research papers. Strong
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neuroimaging and fluid biomarkers, (b) systems biology analysis of pathways from multi-omics data using multi-layered network approaches, © machine learning for identification of genetic risk factors in ADRD, (d
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(CGEOINT) Postdoctoral Research Fellow works as part of a team of graduate students, post docs, and faculty on research projects related to large-scale urban simulations and geospatial machine learning