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-high-resolution analyses of lake sediments to reconstruct glacier dynamics across multiple regions. The findings will contribute to understanding future glacier changes in Scandinavia and globally and
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objectives are to (i) improve process understanding of variation and context-dependencies in biodiversity change, (ii) assess and compare the impacts of multiple global change drivers, and (iii) explore
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(https://cadre.org.uk/ ). As part of this role, you will contribute to projects that have the potential to significantly improve research and healthcare pathways. You will collaborate with multiple
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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networking technologies, software, algorithms and applications Evaluating or developing new and promising HPC systems and networking technologies Researching methods to control and manage next-generation
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requirements: Educational background in Electrical Power Systems and/or Automation 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises
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to control and manage next-generation networks Managing scientific data and workflows in distributed environments Qualifications: Requires a Ph.D. in computer science, mathematics, computational science, or
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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with undergraduates, graduate students, postdocs, and professors in the two labs. Candidates with geoanalytical experience, including backgrounds in either cosmogenic nuclide geochemistry or XRF
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experimental facilities including anechoic and reverberation chambers, a 6-axis motion simulator and multiple audio focused laboratories. In addition, we are currently making substantial investments to refurbish