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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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Position Details Position Information Job Title Research Assistant-AI Driven Disaster and Emergency Management System Position Type Student Division Academic Affairs Department Computer Science Job
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21 Mar 2026 Job Information Organisation/Company University of Basel Research Field Biological sciences » Other Computer science » Other Medical sciences » Other Researcher Profile Recognised
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Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a
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» Computational mathematics Technology » Medical technology Researcher Profile Established Researcher (R3) Positions PhD Positions Application Deadline 16 Mar 2026 - 23:00 (Europe/Madrid) Country Spain Type of
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unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
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participants prior to program delivery and with participants post-intervention. Preparation of literature reviews, publications to be distributed to the research team and community partners. Assists the Research
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 27 days ago
of Contract Not Applicable Job Status Not Applicable Offer Starting Date 16 Mar 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number PS/688/PS_P3/OP4/ESO4.7
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discriminant models Design and use of autoencoders (VAEs, GANs), diffusion models, and other ML methods for analysing and discovering patterns in probability distributions in latent space. We are not accepting
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research program that brings together physics, chemistry, and machine learning. Your research tasks will include: Uncertainty Estimation in Deep Neural Networks for MLFFs Implement and test uncertainty-aware