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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 10 days ago
Fellowship Job Status Full-time Hours Per Week 35 Offer Starting Date 3 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Reference
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) modeling platforms, mass-spectrometry, next-generation sequencing, flow cytometry, imaging and computing infrastructure. More information on the Lange Laboratory can be found at https://langelab.med.ubc.ca
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of Computer Science Full Time / Part Time Full Time Position Title: Research Assistant / Research Fellow – 15753-1 College/Department: College of Engineering, Design and Physical Sciences/Department of Computer
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of peripheral biomarkers with experience covering pre-clinical models and translational and clinical projects. The post-holder will work closely with clinical teams and translational scientists andwill be
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learning to model solid-state materials while collaborating with experimentalists. Qualifications • Ph.D. in Computational Physics/Materials Science, or related field (completed by start date
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commitment to serving as role models for younger generations. The For Women in Science program was created out of a simple belief: the world needs science, and science needs women because women in science have
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3 Sep 2025 Job Information Organisation/Company Nova School of Business and Economics Department Research Office Research Field Management sciences » Other Economics » Other Computer science » Other
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of Mechanical and Mining Engineering, where innovation meets impact. As a key member of this dynamic team, you will develop cutting-edge computational models of two-phase flow in fractured media — ranging from
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the research in combining AI techniques with formal methods techniques (especially program synthesis) to improve the explainability and robustness of AI models Participating in co-operation with Continental’s
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German Center for Diabetes Research (DZD) and the TransCampus collaboration with King's College London. We analyze large clinical cohorts and experimental models to unravel disease mechanisms and identify