185 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in Sweden
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part of a research group active in the area of molecular geochemistry (http://moleculargeo.chem.umu.se ) at the Department of Chemistry (https://www.umu.se/chemistry ), with many years of experience in
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well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/ida The position is based at the Division of Statistics and Machine Learning (STIMA). We conduct research
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undergraduate and advanced levels, mainly in programmes leading to degrees in agronomy and biology. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu
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to partner laboratories to learn cell delivery methods, immunologic characterization of cells and tissues, live cell tracking, and multi-omics data analysis methods. As a PhD student, you devote most of your
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participates in approximately 30 courses at undergraduate and advanced level. Read more about the department here (https://www.slu.se/en/departments/soil-environment/ ). And about our benefits and what it is
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to national environmental and climate goals as well as to the Sustainable Development Goals. We are situated at Campus Ultuna in Uppsala and in Skara. Read more about the department here (https://www.slu.se/en
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(XRD) to characterize, at the molecular level, smectite samples from various Swedish mineral deposits. The PhD student will be part of a research group active in the area of molecular geochemistry (http
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communications theory methods Applying optimization techniques and machine learning/AI approaches Conducting simulations and experimental validations Collaborating with Ericsson and Chalmers researchers Publishing
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postgraduate levels. Where to apply Website https://lu.varbi.com/en/what:job/jobID:897562/type:job/where:39/apply:1 Requirements Research FieldMedical sciencesEducation LevelBachelor Degree or equivalent
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complementing ongoing research activities at the department. For further information see: https://www.keg.lu.se/en/start More information on the PhD program at the Department of Human Geography is available