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analysis. Experience of statistical analysis in R. Knowledge of Swedish or another Scandinavian language, or a willingness to learn Swedish. A valid driving licence. Personal qualities, including curiosity
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, calorimetry, and synchrotron experimental measurement techniques. Knowledge of AI-based and machine-learning methods is also beneficial. For further information about a specific subject see General syllabus
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, or DNA-based analyses. Experience of ecological or statistical data analysis. Knowledge of Swedish or another Scandinavian language, or a willingness to learn Swedish. A valid driving licence. Personal
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high-resolution mass spectrometry, in vitro pharmacological characterisation of new psychoactive substances, as well as metabolomics and machine learning. As a PhD student, you devote most of your time
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for screening the subsurface to select areas with H2 -potential source rocks; - acquire and process new MT and controlled-source electromagnetic (CSEM) field data in targeted areas; - perform integrated 3D
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. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning, and works on
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malignancies. The doctoral training is carried out through participation in the various components of the projects, enabling the student to progressively acquire knowledge in scientific methodology, experimental
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and theoretical work. You will learn how to collect and analyse data within your research area as well as communicate your results at national and international conferences and in scientific journals
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Umeå University’s e-recruitment system Varbi. The last application date is July 31, 2026. A complete application should include: A personal letter (max 2 pages) describing your qualifications and
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intersection of machine learning and life sciences, developing next-generation models that improve our understanding of human biology and enable more proactive, personalized healthcare. As an Industrial PhD