273 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral positions in Sweden
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to learn about experiments at synchrotron radiation facilities. The candidate will be part of a diverse and collaborating research environment in the Condensed Matter Physics of Energy Materials research
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position will both give deeper academic knowledge and network, and offer an opportunity to work close with industry. About us The postdoctoral project is a central part of FibRe (https://www.chalmers.se/en
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about SoftiMAX at: https://www.maxiv.lu.se/beamlines-accelerators/beamlines/softimax/ Eligibility Appointment to the position of postdoc requires that the applicant has a PhD, or an international degree
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biomedical sciences. Experience with sequencing data preprocessing, RNA splicing, deep learning and analysis of human multi-omics data is an advantage. The candidate should exhibit a high degree of
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measurement and control platform for optimal island operation of Chalmers’ wind-battery system. Machine learning-based forecasting tools for renewable production using limited local measurement data
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accordance with the will of William Chalmers and his motto: Avancez! URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14520&rmlang=UK
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5 December 2025, UFV-PA 2025/3526. Where to apply Website https://uu.varbi.com/en/what:job/jobID:876143/type:job/where:39/apply:1 Requirements Research FieldChemistryEducation LevelPhD or equivalent
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Fängström, +46 18-471 33 65, torbjorn.fangstrom@kemi.uu.se Please submit your application by 5 December 2025, UFV-PA 2025/3525. Where to apply Website https://uu.varbi.com/en/what:job/jobID:876140/type:job
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application by December 5, 2025, UFV-PA 2025/3524. Where to apply Website https://uu.varbi.com/en/what:job/jobID:876138/type:job/where:39/apply:1 Requirements Research FieldChemistryEducation LevelPhD
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information about SLU Grogrund, please visit: https://www.slu.se/om-slu/organisation/centrumbildningar/slu-grogrund/. The postdoctoral researcher will screen legumes (pea and faba bean) and cereals (oat) traits