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mathematics, physics, geophysics, optical engineering, electronic science and technology, chemistry, materials science, biology, bioengineering, pharmacy, basic medicine, environmental science and engineering
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engineering, computer engineering and applied physics, with a solid academic background in biomedical imaging and AI and an excellent research track record. Candidates should demonstrate a strong academic track
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Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
models of quantum programming languages. The ideal candidate holds (or is expected to soon hold) a PhD degree in computer science, mathematics, physics, or a more specialised degree in quantum computing
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(or near completion) in computer science, machine learning, statistics/biostatistics, computational biology, data science, physics, or a related field. Experience with modern deep learningframeworks (e.g
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Engineering and Materials & Process Engineering. Close collaboration with our neighbouring Departments (Biosciences, Food, Agroecology, Chemistry, Mechanical Engineering, Electrical & Computer Engineering
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Computing (IQC), and the Perimeter Institute for Theoretical Physics (PI). Successful applicants will benefit from a highly inspiring and supportive environment and be part of the rich research activity
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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, electrochemistry, and process engineering to develop sustainable biomass-to-energy pathways and high-efficiency energy systems for Net-Zero communities. Key Responsibilities Biochar & Syngas Systems: Design, operate
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-640; Gastroenterology 2021 Jul 8:S0016-5085(21)03159-0; Nature Reviews Cancer 2023 Mar 27:1-20, Nature Cell Biology, 2024 May;26(5):840). Our program is well-funded by NCI, with multiple R01 grants and
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date 2 Postdoc Positions in Pancreatic Cancer Immunology and Computational Biology Reference number: 2025-0274 The Saur Lab is deploying advanced in vitro and in vivo model systems, genetic perturbations