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Field
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-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security
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collaborative project that spans multiple continents. Your main role will be to develop advanced algorithms for multivariate, multi-resolution time series analysis of wearable and neurophysiological data spanning
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-long learners in the fields of cybersecurity, AI/ML, or related areas, who are willing to cross-train to address AI Security. As part of the Threat Analysis Directorate, you will join a group of security
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: Development and demonstration of 3D-in vitro environment for of electric field interference neuronal simulation with self-organized networked electrode array Project tasks and objectives: The BRAINET is an EU
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
development. We seek to dissect transcriptional regulatory networks required for pericyte development. We have identified several candidate transcription factors and current efforts focus on genetic analysis
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the ThromboRisk project, a Marie Sklodowska-Curie Actions (MSCA) Doctoral Network funded by the EU. The position is open for appointment during the course of 2026, with a duration of 36 months hosted by UoL, and
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in C++ and/or Python is expected, and experience in model analysis and parameter optimisation is beneficial. Experience in machine learning and neural networks is desirable. The successful applicant
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projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome
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a Research Infrastructure? No Offer Description This position is part of HEPARD MSCA European funded doctoral network (https://cordis.europa.eu/project/id/101226455 ). The project is training early
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within the Department of Oncology (AKB) and the Institute of Clinical Medicine at UiO. PRC has a large national and international interdisciplinary network with outstanding researchers from many countries