10 10-phd-candidates-or-postdoctoral-researchers-in-machine-learning-and-deep-learning PhD positions at University of Bergen
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opportunity to work in a highly interdisciplinary and collaborative environment. The project involves close cooperation with other PhD candidates, postdoctoral fellows, and senior researchers, both locally and
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epidemiology, causal inference, genetic epidemiology, and machine learning. As a PhD candidate in the project, you will: Actively participate in group meetings, design statistical analysis plans in collaboration
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patients Experience with clinical data collection Familiarity with epidemiological methods and registry-based research, epigenetic analyses or machine learning. Interest or experience in science
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(written and spoken) The successful candidate is expected to move to Bergen Desired Qualifications: Experience with Stata Experience with causal inference methods, survey design, and/or machine learning
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registry-based research, epigenetic analyses or machine learning. Interest or experience in science communication and public engagement Experience with publishing biomedical papers Experience with open
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): Organized research training (PhD program): The candidate must take part in the University of Bergen approved PhD programme leading to the degree within a time limit of 3 years. You must have admission
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): The selected candidate will be required to enrol in the University of Bergen’s approved PhD programme, aiming to complete the degree within three years. Admission to the organized research training (PhD
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-Vietnam collaboration, funded by the Research Council of Norway (RCN). The successful candidate will use public health data from Vietnam to develop hybrid agent-based and system dynamics models
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tools and resources. This PhD position is part of a Norway-Vietnam collaboration, funded by the Research Council of Norway (RCN). The successful candidate will use public health data from Vietnam
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archaeological excavations and dating with climate modelling on the one hand and research on human minds and sociality on the other. The PhD position will be part of an interdisciplinary project with the goal