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integrates materials chemistry, formulation, and interfacial analysis with electrochemical characterization, supported by advanced characterization techniques, to elucidate structure–processing–performance
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and/or Python; experience with Unix/Linux environments and bash is considered an advantage Prior experience in the preprocessing, analysis and interpretation of omics data and a strong interest in
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. The project has access to state-of-the-art supercomputing facilities (CSC's Puhti, Mahti, and LUMI) and is well integrated within the international electronic-structure and machine learning communities
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, or otherwise as agreed, for a fixed-term ending latest in August 2030 – a Finnish PhD thesis project typically takes around four years. Position description This PhD project will perform a coordinated analysis
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, or another relevant field Strong skills and experience in handling and analyzing ecological or environmental data Experience with data handling and analysis in R Experience in working with spatial datasets
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and analyzing ecological or environmental data Experience with data handling and analysis in R Experience in working with spatial datasets, either with R or GIS programmes or equivalent Excellent