19 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" Postdoctoral positions at University of Lund in Sweden
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fellow to work within cybersecurity and software engineering in a project funded by the Swedish Foundation for Strategic Research, SSF. Project description You will work in the RESIST project and primarily
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Description of the workplace The Department of Electrical and Information Technology at Lund University, The Faculty of Engineering, LTH, is one of the larger departments with around 120 employees
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institution affiliated with both the Faculty of Engineering (LTH) and the Faculty of Science at Lund University. Within the division of Computer Vision and Machine Learning, there are several senior researchers
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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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the timing of crop bloom and pollinator activity and forecast pollination trajectories under multiple future climate scenarios. The research combines field experiments, AI-based analysis of museum specimens
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at strengthening research and educational environments within battery technology and electrification. Within COMPEL, the three institutions - Chalmers University of Technology, Lund University, and Uppsala
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Workplace description A vacant position is available in the Cell, Tissue and Organ Engineering research group (www.bourginelab.com) led by Paul Bourgine. The group specializes in the production
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Subject description The Center for Molecular Protein Science (CMPS), Department of Chemistry brings together scientists active within the fields of biochemistry, molecular biophysics, structural
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: Very good oral and written proficiency in English. Experience in appropriate computational techniques, which can include electronic structure calculations, molecular dynamics simulations, QM/MM
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concerns about stigmatisation and social exclusion. The project aims to examine how personalised medicine can be made more inclusive by recognising family structures, belief systems and lived experiences