72 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab"-"IFM" positions at University of Lund
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that the applicant has a PhD in Biology, Ecology, Data Science, or a related subject, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years
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catalytic materials such as metal and oxide surfaces, including polycrystalline samples analyzing and interpreting experimental data developing measurement and control systems for experimental setups
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, the project employs a mixed methods approach, integrating actor-network mapping, interviews, extended case studies and participatory visual methods. By combining a global mapping of key actors, data flows
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equality and diversity as a strength and an asset. Work duties The work involves field studies and associated computer, greenhouse and laboratory work as part of the POLLCLIM project that focuses
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medicine or environmental science Be able to independently perform life cycle analysis Be able to independently perform statistical analysis of life cycle analysis data Have at least a basic knowledge in the
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Description of the workplace The Division of Secure and Networked Systems within the Department of Electrical and Information Technology works broadly with research within Cryptography, Computer
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terms of fundamental understanding of light interaction with free flying insects. We now aim to push the boundaries for retrieval of nanoscopic information from their surfaces, microstructural information
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biology, analytical chemistry, evolution, and data science. The workplace offers access to state-of-the-art core facilities for advanced microscopy and cytometry, cell and molecular biology, extracellular
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Description of the workplace The Division of Secure and Networked Systems at the Department of Electrical and Information Technology conducts broad research in cryptography, computer security
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algorithms to reconstruct images in 3D and 4D Develop new image reconstruction algorithms for 3D and 4D X-ray data analysis, merging physical X-ray knowledge and deep-learning approaches. Collaboration with