62 data-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData"-"BioData" positions at University of Lund
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to terawatt lasers at the High-Power Laser Laboratory. The research areas include the interaction between intense laser fields and matter, attosecond science, quantum information, solid-state X-ray
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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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, 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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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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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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. In this project, you will work on nanoparticle research in close collaboration with Dr Cindy Xiao, analyzing cryo-TEM and scattering data and integrating these results to draw scientifically robust
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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
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for further development. The postdoctoral position includes a combination of experimental work, data analysis, as well as interpretation and presentation of research results. The main part of the work for the
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, collaborating closely with the project team throughout all stages of data collection and analysis. The position will be supervised by Lennart Olsson, Professor at the Lund University Centre for Sustainability
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and algorithm development as well as engineering methods that enable robust and efficient practical solutions. As society and technology evolve toward increasingly large‑scale, data‑intensive, and