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will be adapted to the candidate’s background and the evolving needs of the center. Possible directions include the application of rock physics models, Bayesian inversion methods, and machine learning
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physics models, Bayesian inversion methods, and machine learning algorithms in the electromagnetic context. Qualifications and personal qualities: Applicants must hold a master’s degree (or equivalent) in
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2025.The position is part of the project "Validating fatty acid synthesis enzymes as targets for antibiotics against Pseudomonas aeruginosa and other Gram-negative bacteria”, financed by the Research
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for a period of three (3) years at the Section for epidemiology and medical statistics. The position is part of the project “Targeting the Epstein-Barr virus to treat and prevent MS (EBV-MS)”, financed
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for epidemiology and medical statistics. The position is part of the project “Targeting the Epstein-Barr virus to treat and prevent MS (EBV-MS)”, financed by the EU programme Horizon Europe. The main aim
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communication skills. Fluent verbal and written English language skills are a prerequisite. The following skills would be advantageous: Expertise in the development of methodological approaches for targeted and
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an extensive paleo-proxy archive, in addition to designing and performing targeted modelling experiments. As a PhD candidate at the Geophysical Institute at the University of Bergen, you will also be