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or computer vision); A strong scientific track record, documented by publications at first-tier conferences and journals (e.g., NeurIPS, ACL, ICLR, EMNLP, NAACL or COLM); Have excellent programming skills; Have
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different scientific backgrounds. Strong statistical and computer skills including demonstrated proficiency with computer coding, such as MATLAB, R, python, and expertise in statistical modelling. Experience
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-year fellowship-program offers excellent researchers who have recently completed their PhD the chance to continue their research career at CTU. Fellows receive a two year fellowship and become members
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Australian Prostate Cancer Foundation (ACRF) Single Cell Proteomic Laboratory. The successful candidate should have a PhD in bioinformatics, computational biology, cancer genomics or a related field with
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throughout the postdoctoral term. Jarli&Jordan/UiO via Unsplash Jarli&Jordan/UiO Selection criteria Qualification requirements PhD or equivalent academic qualifications with a specialization in computational
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capable of viewing gauges, computer monitors,charts, forms, text and numbers for prolonged periods. Must be available to work flexible hours, including overtime onshort notice and possible weekends and
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humanities, knowledge graphs, ontologies, graph databases, network analysis, natural language processing, computer vision. They should also have a PhD in one of the following areas: Digital Humanities
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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statistical skills. 6. Facility working with analysis software. Desirable Qualifications: Computer programing in Matlab, Python, C/C++ or similar. Expertise in machine learning methods and applications
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring