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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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, 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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. 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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the formal admission requirements for PhD studies: https://www.hanken.fi/en/apply/application/phd-programme/attachments . A Master’s degree is required. Please ensure that all required attachments
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for doctoral studies at the University of Helsinki (https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes ) and obtain a doctoral study right within the trial period of 6 months. Five
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, methods and relevant literature. A declaration covering doctoral status and the MSCA mobility rule. Certificate of language proficiency (see Hanken’s English language requirements at https://www.hanken.fi
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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
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kansallisesti ja kansainvälisesti. Kauppatieteiden laitos on osa yhteiskuntatieteiden ja kauppatieteiden tiedekuntaa. Where to apply Website https://uef.varbi.com/en/what:job/jobID:970309/type:job/where:39/apply