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Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in
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of developing a systematic connection between the national economy and personal financial wellbeing. The project will then examine how this improvement affects their political behavior beyond voting as
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computational, theoretical and/or observational projects, to develop and deploy cutting-edge machine-learning and AI methods for astrophysics and cosmology, enabling precision tests of fundamental physics with
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of politics. Duties The employment as a postdoctoral fellow aims to give the employee an early opportunity to develop his/her independence as a researcher after completing his/her doctoral degree and
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Europe project under the EU Soil Mission, uniting researchers, innovative farmers, universities, and technology developers to advance regenerative livestock systems and soil health across Europe. You will
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, and technology developers to advance regenerative livestock systems and soil health across Europe. You will work within the Swedish Living Lab, co-led by SLU and Svensk Kolinlagring, engaging directly
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, developing and applying advanced computational methods to study cosmic structure. The project is funded by a Simons Foundation grant and is part of the international collaboration Learning the Universe
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, from basic research to more applied projects often focusing on sustainable chemistry but also advanced analytical methods of chemicals and materials. The department has a very well-developed research
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-stratification. We will finally use cutting-edge bioinformatics data science and AI tools developed in-house to analyze and integrate RNAseq and proteomics results from the cancer cells isolated from the blood
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research to more applied projects often focusing on sustainable chemistry but also advanced analytical methods of chemicals and materials. The department has a very well-developed research infrastructure