91 engineering-computation "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Lund
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are united in our efforts to understand, explain and improve our world and the human condition. Your team The vacuum team is responsible for providing support in vacuum technology to MAX IV accelerators and
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an emphasis on maintaining physical consistency, numerical stability, and real-time data assimilation within reduced-order models. Primary application areas include computational physics and climate modeling
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on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description The doctoral student will work on the project ‘Heating, transport, and participation in life: Towards
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doctoral degree. More about being a doctoral student at LTH on lth.se . Subject and project description The study subject is computer science with focus on software technology supporting development
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AFM) Deliver a short operating procedure and recommended cleaning parameters suitable for routine beamline use, plus a brief report of results. Who you are Background in Physics, Engineering
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. in natural sciences or engineering, with a strong scientific background and specialization in biophysical characterization methods. Demonstrated hands-on experience working with large-scale research
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links between dynamics, catalysis and function in protein tyrosine phosphatases, using the tools of computational biophysics. Our research group is highly interdisciplinary, using everything from quantum
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development and well-being goals as much as possible. As a research engineer with expertise in the field of image processing and visualization within InfraVis/CIPA, you will have access to both local and
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Associate Professor Alexander Pietras. The group consists of a bioinformatician, two postdocs, two PhD students, and two research engineers. We are part of the Lund University Cancer Centre at Medicon Village
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department