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for appointment A strong track record in one or, preferably, a combination of the following research areas: 1. Analysis of nonlinear partial differential equations (PDEs) 2. Analysis of stochastic PDEs 3. Numerical
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, and single-cell sequencing. Responsibilities Perform intravital surgery to implant optical imaging windows over draining lymph nodes for long-term, real-time tracking of T-B cell interactions. Develop
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the application of rock 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
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applicants with an approved doctoral thesis and public defence are eligible for appointment A strong track record in one or, preferably, a combination of the following research areas: 1. Analysis of nonlinear
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windows over draining lymph nodes for long-term, real-time tracking of T-B cell interactions. Develop novel sensors for intravital imaging using novel transgene techniques established at the Norwegian
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anthropology (or related fields) before starting at UiB. Applicants must have expertise and an excellent track in linguistic anthropology, with a clear focus studying Amazonian languages or cultures. Fieldwork
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/ Qualifications and personal qualities: Applicants must hold a doctoral degree in linguistic anthropology (or related fields) before starting at UiB. Applicants must have expertise and an excellent track in
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mathematics) before starting at UiB. Applicants must also have a degree (bachelor’s degree, master’s degree, or the equivalent) in mathematics. Applicants must have expertise and an excellent track in the study
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defense are eligible for appointment. Fluent oral and written communication skills in English. A strong track record in fundamental research in biophysics or soft matter physics or fluid mechanics/physics
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work and how they might be misused or abused (both intentionally and unintentionally) Boundary objects that can be used to bridge the divide between educators and AI experts (e.g. causal DAGs, hybrid