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battery technology research: https://www.youtube.com/watch?v=laPjbVujBKM&t=5s Electric vehicles: https://www.vttresearch.com/en/ourservices/electric-vehicles Batteries: https://www.vttresearch.com/en
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are: i) to develop a new selected CI algorithm allowing reaching chemically-accurate results for large compounds; ii) to extend the currently-available database to properties relevant for both core
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. This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and
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participation • Misinformation, disinformation, and their effects on public opinion • News consumption patterns and media fragmentation • Computational approaches to studying political communication • Algorithmic
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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
dynamic photonic sensor array with on-chip neuromorphic intelligence. This is enabled by significantly advancing the state of the art in optoelectronic algorithm-hardware co-design and multi-scale
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new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. Start date: Fall 2026 Duration: The appointment is for 3 years It is
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development of post-graduate students. Particular attention will be given to candidates with experience in topics that are relevant to data science, most notably mathematical and algorithmic foundation
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of computer architecture and digital design; Basic understanding of MRI algorithms is a plus; The ability to work in a team and take initiatives. TU Delft (Delft University of Technology) Delft University
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. This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or
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- Planeamento de tratamento biológico robusto do cancro pancreático em radioterapia”, “2024.14662.PEX”, “DOI: https://doi.org/10.54499/2024.14662.PEX ”, funded by the Fundação para a Ciência e a Tecnologia, I.P