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- University of Oslo
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Field
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understanding how imaginaries, structures, and agency co-evolve across space and time, contributing to uneven geographies of future-making. The qualifying project will be carried out at the University
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the timeframe ability to work independently and in a team, be innovative and creative ability to work structured and handle a heavy workload having a good command of both oral and written English via Unsplash
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that combines functional, structural, spatial, and temporal information. This enriched representation will support both static validation and dynamic analysis, including the automatic synthesis of timed and
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properties. This PhD project aims to identify and validate small-molecule inhibitors that target BAF interactions to block GBM invasiveness. The PhD candidate will: • use computational structure models
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ecology, focussing on studying correlated life-history traits, combining different sources of information, and assessing how environmental effects and management actions affect population dynamics and
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for Climate Research, Norway’s leading climate research community. Qualifications and personal qualities: Applicants must hold a master's degree or the equivalent in physical oceanography, climate dynamics
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conversely, how the fighting impacts the organizational structure of the belligerents. WOW will theorize, identify, classify, and code the characteristics of state military organizations and non-state armed
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environmental effects and management actions affect population dynamics and viability. Available data include long term capture recapture data on fish (also including scale samples) and seabirds (also including
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neuroscience, physics and computational science. CINPLA addresses fundamental questions related to learning and neural network dynamics in the healthy and diseased brain and in artificial intelligence systems
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that depend on them. Through four interconnected research themes—Trends, Seasonality, Extremes, and Resilience—CMT investigates long-term environmental changes, seasonal dynamics, extreme events, and strategies