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tools and procedures for cloud-to-edge compute continuum. -Dynamic Resource and Compute Management for cloud-to-edge compute continuum. -Unified Monitoring Interfaces to provide scalable control and
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risk analysis. -Testing for security and security countermeasures analysis and implementation -Access and usage control for secure data sharing in industrial eco-systems. -Virtualization at the cloud
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groups based on demographic, socioeconomic, and medical factors. You will mainly work with advanced epidemiological methods such as self-controlled case series (SCCS) and survival analyses, using Swedish
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-fabrication processes for superconducting devices Automatic bring-up and calibration of quantum processors Design and simulation of quantum processors Optimal-control techniques for high-fidelity qubit
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in biomedical research and experience in application of image analysis in biomedicine; Experience of programming in Matlab, software version control with Git, typesetting with LaTeX; Experience with
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of novel computational methods and models, including extending methods already under development in the lab, with a particular focus on ways of exerting more precise control for protein design. In
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research, and communicate findings effectively. Experience with deep learning models or automatic differentiation. Familiarity with version control systems like GitHub. Our lab values diversity and inclusion
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about mental health. While having the security of this research community, as a PhD student you will have great control over your personal work schedule. Scientific Background: The industrial Steam
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your application! We are looking for a PhD student in Medical Science. Your work assignments Substance use disorders (SUDs) are psychiatric disorders characterized by loss of control over drug intake
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in computing science. Applicants who otherwise have acquired skills that are deemed equivalent are also eligible. Strong command of both written and spoken English language is a key requirement. You