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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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ethnomycology or ethnobiology large-scale (ethnographic) database construction phylogenetic comparative analyses with Bayesian computational tools The applicant must have the ability to work independently and 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
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for AI-generated or -scored compounds is presented. If such data is included, it is typically limited to protein kinases which are considered to be easy targets due to wealth of published data. The lack
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manuscripts based on findings, targeting publication in peer-reviewed journals and dissemination of results within partner networks Thesis Writing: Compile research outcomes and manuscripts into a cohesive