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research.We teach. We explore and we discover. We collaborate and lead. We innovate, inspire, and empower. We achieve our potential and create circumstances that help our students and others achieve
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Description Within the ANR HEBBIAN contract, the objective is to adapt bio-inspired Hebbian learning models recently proposed by one of the partners of this ANR (Frédéric Lavigne) in order to account for data
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research and education in the general area of computer science, including curiosity-driven research and targeted research in collaboration with industrial partners, traditional university education with a
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well as supervise undergraduate students. The project is embedded in a dynamic and collaborative research environment at KTH, within the Light & Matter Physics division and the Quantum Technologies & Materials group
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colleagues at Lund and international collaborators to establish single-cell or single-nucleus RNA-seq transcriptomic sequencing pipelines. They will use bioinformatic approaches to analyse the resulting data
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Foundation Models, to the sPHENIX experiment Perform physics analysis using sPHENIX data Collaborate with physicists and computer scientists on publishing research findings Required Knowledge, Skills, and
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conducting independent research, publishing in international scientific journals, contributing to project development, and collaborating with our public collaboration partners, other researchers, and students
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qualified applicants to apply regardless of their personal background. Project The Ultra:bit project is a collaboration among DR, Centers for Teaching Aids - Denmark, the Centre for Computational Thinking
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will work on this project under the supervision of Marie Kerjean, and may collaborate with other members of the ANR Diplo project. If the successful candidate wishes, the results obtained may be
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Description VIB.AI, the VIB Center for AI & Computational Biology, is a young research center dedicated to combining machine learning with in-depth knowledge of biological processes. Our mission is