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. Requirements and qualifications Applicants should have a PhD in statistics (or related area) before starting the position. Priority will be given to candidates who have completed their doctoral degree
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operational safety levels of track and vehicles. Here, the project will take a hybrid approach in combining physical simulations and data driven analyses (featuring AI/ML as well as ‘traditional’ statistical
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school, and taking part in the supervision of students. A limited amount of teaching may be included (max 20%). Requirements PhD degree in machine learning, scientific computing, statistics, physics or a
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you must have a PhD or a foreign degree equivalent to a PhD in applied geochemistry, biogeochemistry, microbiology, algal biotechnology, environmental sciences, Earth sciences or similar. A doctoral
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as a postdoctoral researcher, a PhD or a foreign degree deemed to be equivalent to a Swedish PhD is required. This eligibility requirement must be fulfilled at the latest at the time of the employment
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, scientific computing, mathematics, statistics or a related field, or a foreign degree equivalent to a PhD degree in machine learning, computer science, scientific computing, mathematics, statistics or a
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appropriate statistical methods, contribute to scientific publications, project reports, presentations and other communication of research results, participate in project meetings and collaborate with academic
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skills are essential in order to understand and benefit from this new data intensive mining environment. Qualifications In order to be eligible for a postdoctoral scholarship you must have a PhD degree or
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dissolution behaviour Analyse time-resolved experimental data using statistical and machine-learning approaches, and validate predictive models using independent experiments Design and conduct controlled
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, physicochemical and functional properties, process, analyse and interpret experimental data using appropriate statistical methods, contribute to scientific publications, project reports, presentations and other