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Field
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of the GAG biosynthetic machinery Applying novel GAG analytical technologies to investigate how changes in GAG structure and organisation drive and/or respond to shifting developmental stages. Working
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Requirements We will only consider candidates with a good Bachelor’s degree (ideally, a first, minimum 2:1) and/or a master’s degree in computer science, data analytics, health economics, or computational
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they would design the project (for more information, see the ‘Application procedure’ below). Application Procedure Informal enquiries are welcome and can be made directly to Dr Christiane Ahlborn, Assistant
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, Quantitative Reasoning and Analytical Writing). Successful applicants typically perform among the top-10% of test-takers on the quantitative part of the GRE; applicants with a Q score below 160 will not be
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mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
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. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems
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: They are responsible for the central tasks of storing and processing quantum information. The memories must be optically active so distant nodes in a network can be entangled via single photons emitted by the memories
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and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (https://www.slu.se/WIFORCE/en ), was created. Department of Ecology
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is needed that addresses large and complex issues and develops new analytical tools. It is against this background that the WIFORCE Research School, within the Wallenberg Initiatives in Forest Research
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information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Name of research project