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participation in complex urban decision scenarios. The expected contribution is twofold: (1) advancing theoretical understanding of how digital simulation environments influence cognition, motivation, and civic
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of the German language is considered an asset Since the work involves interdisciplinary cooperation with several researchers and technicians, good communication and organizational skills are essential Driver’s license and
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modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial Good organisational skills and ability
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team across institutes Very good communication and organizational skills Very good command of the English language (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements
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systems that provide further insight into modern agricultural applications and food security problems. You will work with an interdisciplinary and international team of experts in artificial intelligence
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Experience with data collection and working with physical or physiological data Knowledge of quantitative research methods and statistics is desirable Good English skills, both spoken and written Experience in
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Gas storage in solid materials is of great importance, which drives fast
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new data becomes available, while preserving previously acquired knowledge. A key objective is to design signal representations and learning mechanisms that enable stable adaptation without forgetting
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of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in