416 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" uni jobs in Sweden
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- University of Gothenburg, Department of Education, Communication and Learning
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Field
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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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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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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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workplace meetings and staff days. More information about PhD studies is found here . Qualifications General requirements To be admitted to studies at the third-cycle level, i.e. doctoral education, the
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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