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grant that focuses on modeling spatio-temporal medical image analysis with a particular focus on learning from limited labelled data. Here you will be a part of the UiT Machine Learning Group and will
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Food Sciences Unit at the Department of Life Technologies at University of Turku (https://www.utu.fi/en/university/faculty-of-technology/life-technologies/research/food-chemistry-and-food-development
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perturbed code variants. Identify perturbations that cause label flips (secure ↔ insecure). Quantify: Misclassification rate, Stability rate, False positive rate, False negative rate Robustness Assessment
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and training of Pharm.D. graduates. A key element of the program's success is preparing Fellows to meet evolving workforce needs across various sectors of the pharmaceutical industry. Fellows have the
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insecure JavaScript code from open-source repositories. Identify and label security-related commits using diff-based analysis. Integrate synthetic data generation (e.g., AST-based vulnerability injection
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applications for contract-based, fixed term position of Senior Researh Fellow for a five-year contract. Employment starts on 1.4.2026 or as agreed. The position is a part of the Academy of Finland–funded project
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– Plataforma de Valorização, Industrialização e Inovação Comercial para o Agroalimentar”, specifically in the sub-project PPS1.1 “New formulations of Clean Label/+Healthy products” framed in Notices Invitation
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education and training of Pharm.D. graduates. A key element of the program’s success is preparing Fellows to meet evolving workforce needs across various sectors of the pharmaceutical industry. Fellows have
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education and training of Pharm.D. graduates. A key element of the program’s success is preparing Fellows to meet evolving workforce needs across various sectors of the pharmaceutical industry. Fellows have
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the offer. Field of Research The Postdoctoral Research Fellow will be part of the Phi_Lab research team, which specializes in advanced quantitative phase microscopy, optical diffraction tomography, and