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Are you interested in data-driven modelling and optimisation of District Heating Systems and can you contribute to the development of our Villum Synergy project, “ Recycling waste heat: Graph-based
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opportunities working jointly at Flinders University Caring Futures Institute and the South Australian Health and Medical Research Institute (SAHMRI). Working with data from the unique Registry of Senior
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the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell
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the metabolic parts of these diseases and traits. This postdoctoral fellow will be jointly supervised by Dr. Lu ( https://wag.app.vanderbilt.edu/PublicPage/Faculty/Details/43993 ), Dr. Bick ( https
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Non-tenure-track/postdoctoral Bologna, Italy Apply Università di Bologna Dipartimento di Matematica Piazza di Porta San Donato 5 40127 Bologna Italy Keyboard shortcuts Map data ©2026 Map data ©2026
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built around a network of top-scientists with expertise in polymer science, adhesives, technology, and sustainability located at the Department of Forest Bioeconomy and Technology at SLU ( https
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looming threat quantum computers pose to current cryptographic infrastructure, and the growing need for AI systems whose outputs can be verified, audited, and trusted without exposing sensitive data or
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 24 hours ago
Rohrbach and T Tuytelaars Code: https://github.com/rahafaljundi/MAS-Memory-Aware-Synapses Theme C Vision&Language learning (selected papers): VisualGPT: Data-efficient Image Captioning by Balancing Visual
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Non-tenure-track/postdoctoral Bologna, Italy Apply Università di Bologna Dipartimento di Matematica Piazza di Porta San Donato 5 40127 Bologna Italy Keyboard shortcuts Map data ©2026 Map data ©2026
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Institute of Science and Technology Austria (ISTA) | Science Institute, Karnataka | India | about 13 hours ago
fellowships (10 positions) for highly qualified candidates who have completed or will soon complete their PhD or equivalent in chemistry, data and computer science, earth sciences, life sciences