277 machine-learning "https:" "https:" "https:" "https:" "U.S" "U.S" Postdoctoral positions in Sweden
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accepting applications for this job through MathJobs.Org right now. Please apply at https://lu.varbi.com/en/what:job/jobID:905918/iframeEmbedded:0/where:4 . Contact: Magnus Goffeng Email: Postal Mail: Lund
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learn more about Working in Lund , Moving to Lund and Living in Lund . Qualifications The assessment will primarily be based on your research merits and your potential as a researcher. Particular
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fundamental questions about soil health in agricultural cropping systems and advance your research career in a leading international research environment. The position is part of the EU project MultiSoil (https
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: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Temporary employment 24 months, with the possibility of extension. Scope: 100% Start date: 1 of June or as agreed
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by interdisciplinary collaboration, applied research projects, and access to advanced development, simulation, and visualisation infrastructures. Where to apply Website https://www.bth.se/english
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of Applied Animal Science and Welfare Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Temporary employment 24
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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at Campus Ultuna in Uppsala and in Skara. Read more about the department here (https://www.slu.se/en/departments/soil-environment/ ). Read more about our benefits and working at SLU by visiting: https
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about working with us Work at Lund University | Lund University Ready to shape the future of research? Find more reasons why Lund University and the HT Faculties is right for you here, and learn more
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your application: A doctoral degree in automatic control, electrical engineering, computational materials science or related. Research experience in battery tests, machine learning, data-driven