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collaboration between two departments in different faculties: The Department of Computing Science (Faculty of Science and Technology), where the PhD student will be part of the AI Policy Lab, an interdisciplinary
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mapping, and scenario analysis. The project is led by Professor Frank Dignum (main supervisor) and Dr. Jason Tucker. Requirements The general admission requirements for doctoral studies are a second- cycle
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. The candidate will be engaged in synthesis of new materials and characterization of these materials using BET/DFT surface area analysis, DSC, x-ray diffraction, Raman and IR spectroscopy etc. It is also planned
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to study gene function in malaria parasites. The PhD student will apply scalable and innovative analytical methods to characterize the role of parasite genes during replication and host interactions
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ion beam (FIB), cryo-EM and electron tomography. The position is for four years of doctoral studies, including participation in research and postgraduate courses. The last day to apply is 12 November
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and/or dynamic approaches to detect them in the code or prevent their execution at runtime. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms
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intelligence related to field robotics and autonomous vehicles. Last day to apply is November 15, 2025. Starting date is March 1, 2026, or by agreement. Project description Physics-based simulation is an
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valuated. Experience in programing in image analysis or a willingness to develop such skills is considered an asset. Please visit the lab website of Lena Svensson. You should be highly motivated and able
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cytometry, FACS, and qPCR for quantifying infection; as well as statistical analysis. You are also likely to use CRISPR/Cas9 technology, CLIP assay, co-immunoprecipitation, and other biochemical methods
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interests, the project can take several directions. One option is to use Systems Biology methods to formulate a set of ordinary differential equations describing how genes regulate each other across