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to identify multiple diseases using one blood sample or medical image. These tests can find diseases early, before symptoms develop. However, they often produce false positives, indicating disease when none is
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completeness. In other instances, where sufficient data do exist, the models used in attempts to glean performance insight may be overly simple and violate mathematical or statistical assumptions or be overly
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/ Geomatics (Ref. 260410005) The Department of Land Surveying and Geo-Informatics (LSGI) is widely considered as a centre of excellence in both education and research in Geomatics and related fields
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screening approaches. The PhD student will develop and apply analytical workflows to characterize complex food matrices. The project includes i) developing and optimizing screening workflows; ii) improving
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-CoV-2). 1. Conduct research, from setting up experiments to writing up results : - Perform multidimensional heteronuclear NMR spectroscopy experiments - Prepare protein samples for NMR spectroscopy
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7 Mar 2026 Job Information Organisation/Company Utrecht University Research Field Mathematics » Statistics Sociology » Socio-economic research Researcher Profile First Stage Researcher (R1
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this project, you will develop the next generation of federated machine unlearning algorithms—methods that can efficiently deliver genuine, verifiable, and robust erasure without sacrificing model performance
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, behavioural tests, taking saliva and blood samples for cortisol analysis, and statistical analysis of results. Collaborate closely with the PhD that will be hired at the Department of Animal and Aquacultural
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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5-7 years of work experience in a related job discipline. Certifications: --- Preferred Qualifications Education: Bachelor’s degree in computer science, engineering, mathematics, statistics, or a