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acquire the doctoral education. Good English communication, including an ability to clearly disseminate research findings orally and in writing, are essential. Additional qualifications Selection will be
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complex contexts through statistical models, machine learning (ML) methods, and artificial intelligence (AI). This includes working with performance, scalability, resilience regarding platform architectures
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willingness to learn Swedish. A valid driving licence. Personal qualities, including curiosity, initiative, reliability, organisational ability and willingness to collaborate, will be important in the selection
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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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, 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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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
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the student to progressively acquire knowledge in scientific methodology, experimental research, data analysis, and scientific communication. As part of your doctoral studies, your duties will include
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perform both empirical 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
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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