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on computer networking and distributed systems, computer security and privacy, and software engineering. Both research and education are conducted in close cooperation with international, national, and regional
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at least 1 million DNA barcodes. The project involves collaboration with a computer vision lab at Linköping University, focused on developing AI-assisted techniques for picking out specimens for genome
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of Space, Earth and Environment . Our division focuses on research addressing global environmental challenges and understanding Earth system processes. You will join the vibrant Climate Dynamics Group
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analysis related to sampling, optimisation and learning problems in high dimensions. Examples of current research topics include convergence analysis of Markov processes, efficient Monte Carlo methods, large
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information about employee benefits is available here . Union representatives Information about union representatives, see Help for applicants . Application procedure Apply for the position by clicking
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at Chalmers. Application procedure The application should be written in English and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip
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focuses on the development of new materials and processes for electronics packaging and bioelectronics applications. The research of the electronics packaging group in the Electronics Materials and Systems
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Worldwide R&D Projects. Previous experience in one or preferably more topics from these areas is considered a merit: -Multi-modal data processing for decision-making in natural environments -Terrain
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beamline is dedicated to X-ray absorption spectroscopy (XAS) and X-ray emission spectroscopy (XES) experiments in the medium and hard X-ray energy range, 2.4 - 40 keV. The beamline is in user operation since
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, Karolinska Institute. The lab seeks to reveal mechanisms that are responsible for successful regeneration to occur in salamanders, and conversely, highlight processes that prevent comparable injury responses