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engineering and sustainable energy systems and help develop future large-scale Power-to-X solutions. Your work tasks In this PhD fellowship at AAU Energy, you will work with dynamic modeling, simulation and
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https://employment.ku.dk/faculty/recruitment-process/ . Interviews with selected candidates are expected to be held in week 42/43. Applicants must be prepared for further security screening related
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, with the earliest start date 1 November, 2026. Further details and application instructions are available at: https://math.au.dk/en/about/vacancies/phd The webpage includes brief subject descriptions and
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to the wider research environment at AAU, including CAISA and the MASSHINE Lab; and develops a publication strategy for international journals in innovation studies, organisation studies, and digital
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into frontrunner firms in the Danish fashion and textile industry (see https://vbn.aau.dk/da/publications/grøn-omstilling-i-den-danske-mode-og-tekstilindustri-virksomhedsb/ — available in Danish only), the premise
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physics. Odense is a fast-growing international community with an open Scandinavian culture, affordable housing and living costs. For more information on the QM centre, please visit https://www.sdu.dk/en/qm
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organizational practices such as recruitment, evaluation, communication, coordination, learning, and career development. These developments may create new opportunities for workplace inclusion, while also
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learning from demonstrations and generalisation to unfamiliar tasks, objects or environments. World models and planning Develop models that predict how the physical world responds to actions, supporting
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theory development with comparative measurement, large-scale data collection, observational analysis, surveys, and experiments. It covers Denmark, Estonia, Germany, India, the Netherlands, Switzerland, the
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. The stipend is open for appointment from January 1st 2027 or soon hereafter. The duration of the position is three years. Your work tasks The project will focus on the development of probabilistic and data