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candidate will have the opportunity to: Establish new deep-learning-based algorithms to reconstruct images in 3D and 4D Develop new image reconstruction algorithms for 3D and 4D X-ray data analysis, merging
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Therapy (MMGT) at the Biomedical Centre (BMC). MMGT houses labs with a variety of complementary expertise in stem cell biology and gene editing. More information on the lab can be found at leighnd.github.io
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project follow-ups. More information about MoRe‑Lab and our activities is available on our website . We offer Lund University is a public authority which means that employees get particular benefits
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has aimed to develop a two-part research programme. The first part focuses on developing and applying methods for 3D digital modelling, ranging from the collection of digital data from archaeological
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the field To be successful in this role you need to have the following qualifications Following a university curriculum High school level, computer knowledge, technical interest. Experience in high level
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at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model reduction, with
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, immunohistochemistry, chromatography, and surface plasmon resonance (SPR). Strong ability to analyze and interpret quantitative proteomics data in R and/or Python, as well as experience in integrative bioinformatic
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analysis of life cycle analysis data Have at least a basic knowledge in the methodology of systematic reviews Have experience in translational research Additional qualifications for the position
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are united in our efforts to understand, explain and improve our world and the human condition. Description of the workplace InfraVis is Sweden’s national infrastructure for visualization of scientific data
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for retrieval of nanoscopic information from their surfaces, microstructural information from their gut content as well as relating insect abundance to CO2 and heat convection cells in the atmosphere. As a