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inference, micro-econometrics, health inequalities, epidemiology, qualitative research methods such as grounded theory, and mixed-methods approaches. Elective courses on data science, public health
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. The doctoral training programme offers: Core training in health economics, causal inference, micro-econometrics, health inequalities, epidemiology, and healthcare decision-making. Elective courses on data
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to brain function and diseases. The project has an epidemiological approach and combines a wide range of national registers. Duties The main duty for a doctoral student is to devote themselves
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Medicine and is led by Associate Professor Joakim Esbjörnsson. The group uses various bioinformatics and phylogenetics methods to combine genetic, clinical, and epidemiological data to explain how viruses
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through a combination of registry-based epidemiological studies, in vitro modelling of biofilm behaviour, and in vivo investigations of antibiotic pharmacokinetics and efficacy. The project is part of
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. The research group collaborates both within and across disciplines, e.g. with experts in crop production, technology, animal health, and epidemiology. It consists of around 20 members, including PhD students