249 structural-engineering "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions in Sweden
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collected from diverse geographic locations across Europe. The work will include pan-genome and population structure analyses, genome-wide association studies (GWAS), and the integration of transcriptomic and
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more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Employment: Fixed-term employment, 2 years, with the possibility of extension Extent
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We are looking for a postdoctoral researcher to join our team in Sustainable Urban Water and Environmental Engineering at Chalmers. You will contribute to exciting research on innovative
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-Geometric Foundations of Deep Learning or Computer Vision KTH Royal Institute of Technology, School of Engineering Sciences Job description The Department of Mathematics at KTH welcomes applications for a
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included. Qualifications The position requires: A comleted PhD or equivalent in biomedical engineering, engineering physics, computer science, medical physics or other field relevant for the project. The PhD
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group, Division of Communication Systems, Antennas and Optical Networks, Departmet of Electrical Engineering. We pride ourselves on fostering scientific excellence, innovation, and collaboration with
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health for all Where to apply Website https://ki.varbi.com/en/what:job/jobID:897835/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelPhD or equivalent Research
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. Information about the group's research can be found on our website https://sixtlab.org/ For more information about the position contact Dr. Barbara Sixt, barbara.sixt@umu.se Additional information We look
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the complex structure of populations into single-cell components that can be studied individually and collectively. To achieve this, we will apply novel tools based on semi-permeable capsules, including various
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relationships and assess tree species sensitivity to climate stressors using both global databases and experimental data from Rwanda TREE project (https://www.rwandatree.com ). The researcher will have close