274 computer-programmer-"https:"-"FEMTO-ST"-"U" "https:" "https:" "https:" "https:" "https:" "Dr" "P" Postdoctoral positions in Sweden
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an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. URL to this page https://www.chalmers.se/en/about
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. The last application date is March 30, 2026. Project description The postdoc position is supported by the Water4All Transnational Project: Impacts of climate, N and P deposition and land use on water as a
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then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14309&rmlang=UK
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to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year, plus two additional days off on Christmas Eve and New Year's Eve Career development in a
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collective agreement. Full time position. Starting date August 15, 2026, or as agreed upon. Placement: Uppsala Dr. Patrick Sandoz, patrick.sandoz@scilifelab.uu.se, or Karin Magnusson, karin.magnusson
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gene regulators. Therefore, to avoid their harmful effects, in adult tissues they are silenced by epigenetic mechanisms such as DNA methylation. Dr. Horvath’s previous research has uncovered several
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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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computational workflows including: - Profiling open chromatin, histone marks, methylation, and chromatin conformation during wood development and drought stress in spruce/pine. - Building integrative analyses
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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