75 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at University of Lund in Sweden
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need to have the following qualifications Following a university curriculum High school level, computer knowledge, technical interest. Experience in high level programming languages
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both internal and external projects, outreach activities and recurring internal workflows such as lab bookings, invoicing and project follow-ups. More information about MoRe‑Lab and our activities is
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on developing and applying methods for 3D digital modelling, ranging from the collection of digital data from archaeological remains to the creation of 3D reconstructions of these environments. The second part is
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Description of the workplace InfraVis is Sweden’s national infrastructure for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund
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, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model reduction, with an emphasis on maintaining physical consistency
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doctoral student will address the same topic from a business perspective. The student will also be afilliated with the NextG2Com industrial competence center, in the research theme on Integrated Data
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efficient practical solutions. As society and technology evolve toward increasingly large‑scale, data‑intensive, and interconnected systems, the need for scalable methods and reliable guarantees becomes
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, data analysis, as well as interpretation and presentation of research results. The main part of the work for the advertised position involves studies of specific antibodies and antibody repertoires as
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, agro-ecology, soil, and plant science. The successful applicant will be appointed for a two-year postdoctoral position, collaborating closely with the project team throughout all stages of data
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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