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-future-green-electronics , https://c3nit.se/ Subject description The subject of this project is to develop novel ultra-wide bandgap semiconductor technology based on AlN and related alloys. This includes
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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of mathematical areas. The position will be placed at the Department of Computer Vision and Machine Learning (CVML) at the Mathematics Centre (https://maths.lu.se/). Mathematics Centre is a department
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and designed proteins using a combination of classical and advanced techniques including optical and NMR spectroscopy, surface plasmon resonance, light and X-ray scattering, cryo-electron and
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experimental research with a focus on cryo-electron microscopy to understand how these ion channels are regulated under normal conditions and in disease states. Description of the AMBER project context This post
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, light and X-ray scattering, cryo-electron and fluorescence microscopy and X-ray crystallography. The experimental and theoretical methods used often have their origins in physics. Significant work is
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science, and two more are for photoemission and electron-ion coincidence studies on gases, clusters and liquids. There is also a port for the user-defined experiments. A description of the beamline can be
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pollen, lichen, zooplankton and disease vectors. In particular relating spectral characteristics of micro and nanofeatures on the targets and validating this through conventional methods such as electron
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accept applications by email. We are seeking a postdoctoral researcher to contribute to the LUCSUS–CLIMES project, focusing on the social impacts of climate extremes in Sweden, particularly through