521 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions in Sweden
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Field
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data
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about staff benefits and life as an SLU employee on https://www.slu.se/om-slu/jobba-pa-slu/ Read more about third-cycle courses and study programmes on www.slu.se/utbildning/program-kurser
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influences both the spatial distribution of environmental conditions and where people move through the city. The research forms part of a larger five-year research program investigating how urban form can
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10 Jul 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Computer science » Informatics Computer science » Programming Computer science » Other Researcher
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on https://www.slu.se/om-slu/jobba-pa-slu/ Read more about third-cycle courses and study programmes on www.slu.se/utbildning/program-kurser/forskarutbildning/. Form of employment / Funding Employment as a
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CIRCLE. Read more on the University website about being an employee at Lund University: https://www.lunduniversity.lu.se/about-university/work-us Work duties and areas of responsibility As project
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Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with nuclear fuel modelling, machine learning