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. The candidate will support the development and deployment of applied AI solutions, including machine learning, computer vision, and large language models (LLMs), within real-world manufacturing contexts
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39 Faculty of Computer Science Startdate: 01.03.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 28.02.2030 Reference no.: 4786
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) a PhD in a quantitative discipline such as computer science, mathematics, statistics, engineering, or a related field. Strong programming skills and experience in machine learning or statistical
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Biochemistry, experience with neuroscience- and light sensory related topics Passed entry examinations into the Vienna Biocenter PhD Programme Experience with RNA sequencing data from complex tissues (ideally
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Computer science Researcher Profile First Stage Researcher (R1) Established Researcher (R3) Country United Kingdom Application Deadline 9 Dec 2025 - 21:59 (UTC) Type of Contract Permanent Job Status Full-time Is the
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). You will develop an AI/machine learning model using spatial proteomics that can accurately differentiate CRS phenotypes. You will have an opportunity to apply the AI/machine learning algorithm to tissue
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research for understanding the learned algorithms in brains and machines. The post holder will provide guidance to less experienced members of the research group, including postdocs, research assistants
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. The BASP laboratory is developing cutting-edge research on all aspects of computational imaging, from theory and algorithms, to applications in astronomy and medicine. Dr Wiaux is a Professor in the School
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applications that are interested in pursuing interdisciplinary projects incorporating elements of computational science methodologies in the context of social science challenges spanning the remits of the UK
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responsibility for carrying out research for understanding the learned algorithms in brains and machines. The post holder will provide guidance to less experienced members of the research group, including postdocs