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to take responsibility for your own work, while enjoying collaboration. Good command of English, both spoken and written, is a requirement. Since the position includes extensive fieldwork in varying
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science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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with the aim of studying and understanding processes in materials, often related to moisture and durability aspects. The division has a large laboratory infrastructure and has a high focus on
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of this carbon from streams and lakes. The project will include comparative studies of the magnitude and control of land-water carbon fluxes across various vegetation, permafrost and climate conditions in
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combined research areas. Previous experience in one or preferably more topics from these areas is considered a merit. - 5G reconfigurable Connectivity - 5G/6G QoS - Control of Communication networks
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. Additional requirements for this position are: good knowledge of the processes controlling carbon cycling in aquatic ecosystems, good ability to carry out physically demanding fieldwork in northern
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. Controlled cycling protocols, including partial state-of-charge operation, long-term cycling, and temperature-dependent testing, will be used to probe degradation pathways and durability. The work will involve
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to efficiently transform biochar into battery-grade hard carbons with controlled characteristics and optimized electrochemical performance. The use of microwave plasma carbonisation will allow
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, statistics, machine learning, control, computer science, or a related area that is considered relevant for the research topic of the project, or have completed courses with a minimum of 240 credits, at least
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specialization. A very good command of the English language is a key requirement. Documented knowledge and experience in machine learning is required; experience with natural language processing or with sequence