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the development and demonstration of a “fast decision machine” that can provide a qualified basis for early decisions concerning future aseptic production. You will plan and carry out your research systematically
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Offer Starting Date 1 May 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and experience with reproducible analytical workflows; experience handling large geospatial, biodiversity
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) Publication experience in leading discipline or interdisciplinary journals Collaboration skills Communication skills with different stakeholders Danish language skills are an asset as the work also includes
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management systems Strong track record of scientific publications Excellent communication skills in English (oral and written) Who we are The Section for Electrical Energy Technology focuses on energy system
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
the department’s teaching and supervision activities and to teach and supervise at BA and MA levels. The department has the following educations: Information Studies, Bachelor's Degree Programme in (2018
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conditions mimicking dense interstellar dust and molecular clouds. The applicant will use low temperature scanning tunneling microscopy (STM), temperature programmed desorption, and (single molecule) IR
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. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and they make
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educational programs or related programs, and you will be involved in supervising BSc, MSc and potentially PhD students whose work relates to composite mechanics and structural analysis. Through
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chemical environments and correlated disorder to thermodynamic stability and transport. The research will form a central part of CENSEMAT's simulation-guided materials programme and will be carried out in