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scattering (SANS/SAXS) Participation in experiments at large facilities (e.g. MAX IV, ESS, ISIS etc.) Processing and interpreting SANS/SAXS data both within the project and other projects in the research group
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to the Stockholm-Arlanda international airport. For more information about the department visit: https://www.slu.se/en/departments/plant-biology-forest-genetics/ Read more about our benefits and working at SLU by
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will also have good opportunities to learn from and socialize with other postdoctoral fellows at the department. For more information about the department or division visit: https://www.slu.se/om-slu
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The Faculty of Engineering and Health Sciences provides education and conducts research in engineering, health and information design, with a clear focus on addressing societal challenges. Our
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Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Expertise of large scale data handling Experience
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Are you ready to help shape the future of research? Learn more about why Lund University could be the right choice for you here, and more about working in Sweden here. These videos provide information about
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aims to explore to which extent machine learning methods can help with these tasks, e.g. object reconstruction and signal/background discrimination. This will be a focus in the project. One exciting
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required to meet the eligibility criteria. Of secondary importance are: Experience with Python and relevant libraries for machine learning, optimization and simulation. Documented expertise in simulation
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information of two to three referees. Union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your