68 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FCiências" positions at University of Lund in Sweden
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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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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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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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, 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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afilliated with the NextG2Com industrial competence center, in the research theme on Integrated Data Engineering and Machine Learning. More about ELLIIT and the project More about NextG2Com Being a doctoral
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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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. 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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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
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, imaginaries, and emerging technology-impacted practices. Detailed description of the work duties, such as: Empirical data collection, for example, policy document analysis, stakeholder interviews, participant