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science, and life sciences. Your main work tasks will be Design, develop, test, and commission advanced pulsed magnet systems for MAX 4U Maintain and improve existing pulsed magnets to ensure reliable
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genetic, phenotypic, and environmental data, testing when and how evolution can be forecast. As a PhD student in our group, you will gain hands-on experience in computational and mathematical modeling and
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of protective materials Perform validation studies to ensure computational model accuracy against experimental benchmarks Collaborate on the development of testing methodologies for protective device evaluation
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model accuracy against experimental benchmarks Collaborate on the development of testing methodologies for protective device evaluation Machine Learning Integration Develop and implement machine learning
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Documented experience of international research projects. Documented experience of pedagogical leadership in the form of course responsibility, examination and course development. Documented experience
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undertaken within the first two years of employment. As the position involves examination in Swedish, you must have proficiency in Swedish, Norwegian, or Danish (C1 level according to the Common European
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. The research group has direct access to multiple test rooms and virtual environments, all fully equipped for measuring behavior and psychophysiology. We also have access to state-of-the-art 3-Tesla MRI scanners
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, nationally and internationally (90 ECTS credits) teaching (no more than 20%), including lab supervision and exam responsibilities. This part may also include departmental services, such as working with
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/IELTS tests and include the results in the applications. The form for application for doctoral studies (for the application requitement vi. above) can be found here: https://lnu.se/en/research/PhD-studies
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, vulnerability detection, exploit mitigation techniques, scalability, software systems, software quality, malware, computer security, fuzzing, software testing. The project is funded by WASP. Wallenberg AI