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Field
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sciences History » Archaeology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Sep 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job
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duties as per the need of the College and in adequation with research objectives Job Requirements: PhD degree in Computer Science, Statistics, Meterology, Atmospheric Sciences, or equivalent In-depth
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capabilities, NEWRI drives innovation in water circularity and sustainability, next-generation solid waste solutions, circular economy resource recovery, climate resilience and digitalization. For more details
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, climate change, sea-level rise, environmental sustainability, conservation of environment and biodiversity, and interactions between environment and society. For more information, please visit our website
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call is open for the attribution of 1 (one) research grant for a PhD student, financed by Ciências ULisboa, according to the following conditions: Work plan: Development of the base scenario through
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, predict and control the performance of Nature Based Solutions (NBS) across a range of hydro-climatic events and conditions. A key outcome from the project will be deploying these algorithms to identify
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institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of future technologies, energy and climate, health innovation and fundamentals of nature. By
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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(contributing author on engagement chapters) (4) Data-driven framework for climate risk communication (integrating gamification, VR, behavioural science) (5) Conference presentations (2 international conferences
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will focus on developing a process-guided and AI-assisted soil community foundation model for natural climate solutions. Candidates with prior experience in process-based modeling/data analytics/deep