18 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "U.S" Postdoctoral research jobs at University of Lund in Sweden
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the tools of computational biophysics. Our research group is highly interdisciplinary, using everything from quantum chemistry, conventional and enhanced sampling molecular dynamics simulations, generative AI
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sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment
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publications in mathematical modelling, computer vision and/or machine learning high motivation and the ability to quickly acquire new techniques good ability to plan and structure your work, as demonstrated by
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difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se https://www.maxiv.lu.se/about-us/careers/compensation-benefits/
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. 100–800 CE). This is achieved by using the latest generation of digital tools and techniques in archaeology. The project has aimed to develop a two-part research programme. The first part focuses
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, and is financed by SciLifeLab and the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). Work tasks and
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. The postdoctoral scholar will take a leading role in the the BeeSYNC project, focusing specifically on: Computational Natural History. The researcher will develop deep learning models to predict individual bee age
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social media channels. There may be opportunities to contribute to teaching and supervision within the LUMES and LUCAS MSc programmes at LUCSUS. Qualifications The ideal candidate will have the following
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Description of the workplace The Division of Secure and Networked Systems at the Department of Electrical and Information Technology conducts broad research in cryptography, computer security
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the website and social media channels. There may be opportunities to contribute to teaching and supervision within the LUMES and LUCAS MSc programmes at LUCSUS. Qualifications The ideal candidate will have the