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projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome
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. Lead and conduct research projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data
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for a doctoral studentship leading to a PhD in Public Health Science at the Department of Health Sciences. As a doctoral student, you will work in environmental epidemiology within an interdisciplinary
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environmental epidemiology within an interdisciplinary research project investigating how early-life environmental exposures affect health and development in children and adolescents. The work is largely
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environment with broad expertise in genetics and epidemiology and close links to clinics. The Center for Molecular Medicine is a research environment with groups that study various public diseases with a wide
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accompanying employment within the research group for Surgery. The research group includes both clinical and pre-clinical researchers. Clinical, epidemiological and laboratory-based research is carried out by
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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