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Subject description The postdoctoral fellow will join a project focused on developing protein-based electronic components, with the ultimate goal of enabling in-cell production of semiconductor
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powerful experimental method to qualitatively probe spatial organization of nanoparticles in porous materials is electron tomography, whereby 3-dimensional images (tomograms) can be generated. One of your
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principles, and computer-based analysis methods. The research will include investigating aggregated data from genetics, archaeology and linguistics Requirements PhD degree in Population genetics
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be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc. A requirement is proven experience and ability to work with computer-based analytical methods and
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, and research interns, and will expand with additional postdocs and PhD students early 2026. The laboratory is physically located at Kemicentrum in Lund and is also part of the vibrant NanoLund
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(e.g., power electronics or machine learning applications in power systems). The PhD degree must have been awarded no more than three years prior to the application deadline*. The ideal candidate has
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around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on
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skills in English Ability to work effectively as part of an interdisciplinary team Ability to plan and execute scientific studies from concept to implementation, including manuscript preparation Merits
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. Interest in power electronics, power systems, electromobility. Programming skills in relevant languages, e.g. Python or MATLAB. Knowledge about battery pack testing and design. Experience with statistics and
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in the Natural Sciences (AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians working collaboratively. Our focus is on developing practical methods