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/Anders Lien 25th September 2025 Languages English English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 3 months ago
Position Information General Information Position Number STMP18 Working Title Postdoctoral Fellow - Bioinformatics (Temp) Division Academic Affairs Department Coll of Computing&Informatics (Col
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/Bioinformatics Job Class Code HA03 A/B/C/D Appointment Status Full-time Part-time FTE Limited Term Yes Limited Term Length Two-year term, continuation is depending on the funding availability Job Summary The
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parallel, a new portfolio of clients is growing with the development of an R&D cluster around the University and a growing number of international partnerships. Applications and selection procedure
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and/or MD in computational biology, bioinformatics, genomics, or other related fields. Proficiency with high-throughput sequencing data analysis and cluster/cloud computing. Expertise in variant calling
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UiO/Anders Lien 25th September 2025 Languages English English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description
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at our Dutton Park campus About This Opportunity Join a world-class team at one of the top 50 universities globally, where your passion for cutting-edge research in bioinformatics, microbiome and human
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Interview Date: To be confirmed Reference: CSS-0224-25 We are looking for enthusiastic individuals to apply for a two year fixed term fellowship in Cardiothoracic Surgery, in the Department of Clinical
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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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Professor Joanne Ngeow. The Senior Research Fellow, Bioinformatics will play a key role in analyzing large-scale genomic and clinical datasets to uncover genetic factors contributing to cancer predisposition