19 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" Fellowship positions at University of Bergen in Norway
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on respiratory disease in a longitudinal perspective. It will be based on data from a large cohort of individuals extending back to 1990 from the Respiratory Health in Northern Europe (RHINE) study, as
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of the underwater environment and marine installations. The system must be flexible, distributed, robust, energy-efficient, cost-effective, and secure, and be able to handle large volumes of data. Acoustic
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equivalent education in climate dynamics, meteorology, oceanography, applied mathematics, physics, computer/data science or related fields or must have submitted his/her master's thesis for assessment prior
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to an interview. Further information about the appointment process is available here. Formal regulations: Applicants who have previously held a PhD fellowship at the University of Bergen are not eligible to apply
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. Good knowledge of the topic of Cryospheric Processes is a requirement Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with
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clearly. The Evaluation Committee may, in special cases, request additional documentation. Shortlisted candidates will be invited to an interview. Further information about the appointment process is
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| UiB . General information The assessment will emphasise the quality of the project description and its relevance and importance towards the project, as well as the applicant’s academic and personal
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developing figures, tables, data management, and cross-chapter coordination. Interact with fellow Chapter Scientists across the IPCC AR7 and receive training in relevant skills. Qualifications and personal
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(overturning) in the Nordic Seas and subpolar North Atlantic. The PhD project will rely on the analysis of available observations, data from high-resolution models and reanalyses, Lagrangian simulations, and new
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utilize most recent climate and ocean model simulations in combination with observational data. There is, in addition, a possibility for the PhD student to design and perform targeted modelling experiments