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quantifying recent changes in glaciers in Western Norway from archival and contemporary aerial datasets as well as Uncrewed Aerial Vehicles (UAVs), or modelling the future state of the cryosphere using
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consisting of both control theory (or related fields) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization
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and the ability to handle hectic periods Ability to work on problem solving, programming, data modeling and analysis, scientific writing, and public presentation Ability to work with specific
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technological progress in our increasingly digital, data-driven world. Researchers in Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By
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and Autonomous Maritime Navigation, partially funded within, Operational Zero Emission Ferries – Safe and Efficient Human-Autonomy Teaming in Complex Maritime Transport Systems, (BZERO) The position
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projects. Often, collaborative work or tasks are supported or mediated by digital tools, which partake into complex collaboration ecologies. The rise of intelligent technologies, such as generative AI tools
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sequencing data analysis (e.g., CAGE, ATAC-seq, ChIP-seq, or Hi-C) Familiarity with SUMOylation, transcription factors, or chromatin dynamics Expertise in statistical modeling for biological data. Knowledge
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the overall objective of the PhD work. Some potential specific research objectives: Model the coordination and interactions between power producers and system operators (DSOs and TSO) in scenarios
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dissecting the functionality of different EV subsets. Methods include, but are not limited to, in vitro culture of primary human cells and cell lines, organ-on-chip models, molecular biology, diverse
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and independently on complex tasks. • Resilient and adaptable when facing research challenges and changing project demands. • Excellent organizational and time management skills. Employment in