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technician. Your role We are looking for a postdoc with a background in magnetic materials and (soft) x-ray techniques, like XMCD or magnetic X-ray imaging, plus acumen in the data analysis thereof
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turn includes design and optimization in 1D, 2D, 2D Blade-to-Blade as well as 3D computational fluid dynamics (CFD) methods. Work duties The main duties involved in a post-doctoral position is to conduct
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the assessment criteria: A good ability to develop and conduct high quality research. Teaching skills. Other qualifications: Experience from computational fluid dynamics (CFD) modeling, preferable in openFOAM
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at the nanoscale. The Division has a strong commitment to undergraduate education, not least in the Master's programme "Engineering Nanoscience" at LTH. A significant part of the research at our division is in
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, with a specific emphasis on grid-connected energy systems such as electricity and district heating, as well as the markets surrounding these systems. The postdoc position will primarily focus on research
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employees and conducts research and teaching mainly in electrical engineering and computer technology. We are located on LTH's campus in northern Lund. At the Division of Electromagnetics and Nanoelectronics
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. The department has a comprehensive doctoral programme and coordinates three international Master’s programmes. It enjoys a well-established reputation for its broad research profile, with an emphasis on long-term
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fluid mechanic modelling of particle trajectories in acoustically actuated microfluidic systems. Experience of acoustic enrichment/trapping of nanoparticles or extracellular vesicles Experience in
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focusing on different aspects relevant to the project, for example, vegetation fires, vegetation dynamics, land use and land cover change Experience in multivariate statistics and spatio-temporal analysis
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep