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doctoral degree in Computer Science or related mathematical discipline together with a strong publication record and familiarity with the existing literature in the area of algorithms, or complexity
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Division/Team: Department of Computer Science Hours per week: Full Time Closing date (DD/MM/YYYY): 14/08/2025 Contract Duration: From 1st September 2025 for 18 months School/Directorate: School
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow - Computer Science Division Academic Affairs Department Coll of Computing&Informatics (Col) Work
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. Department: Res Dept of Biomedical Computing. Contact details:Dr. Rachel Sparks. rachel.sparks@kcl.ac.uk Location: St Thomas Hospital. Category: Professional & Support Services. About Us We are seeking
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Nature Careers | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 14 days ago
Dalhousie University, Faculties of Medicine and Computer Science Canada Research Chair (CRC) Tier 2 in Biomedical Data Science and Precision Medicine Dalhousie University’s Faculty of Medicine
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preferred. Experience utilizing computer vision algorithms and frameworks, including medical image classification, feature matching, edge detection, image segmentation, and deep learning models like
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The successful candidate will be responsible for developing computational and systems biology approaches to analyze spatial omics data and single-cell omics data (e.g., scRNA-seq, scATAC-seq, single
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diseases. Required Qualifications: (as evidenced by an attached resume) ● Ph.D. degree in Data Science, Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Neuroscience, or a
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of Oxford University weighting Potential to under fill at grade 07RS: £38,674-£46,913 per annum inclusive of Oxford University weighting The Department of Computer Science has a new opening for Postdoctoral
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econometric analysis and preparing results tables, managing large data sets, handling spatial data, applying machine learning algorithms, conducting computationally intensive statistical analyses, summarizing