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, offers a part-time position, 14 hours per week as a Student Assistant. Period of employment: 1 October 2025 - 30 June 2026 Location: Sønderborg The job involves the following tasks: Simulation of power
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teaching activities within the field of comparative animal physiology. We particularly welcome applicants conducting ground-breaking research with focus on mechanisms at molecular and cellular levels and
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skilled development engineers to join our dynamic team working on demonstration plants that feature promising new technologies to improve the efficiency of CO₂ capture and utilization. Our department
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forest research group, you will join a dynamic research environment that spans forest management, silviculture, forest modelling, climate adaptation, and ecosystem monitoring. You will collaborate across
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advance our structural simulation and analysis capabilities. This position’s primary focus is to work closely with researchers and development engineers to provide software development knowledge and best
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propaedeutic training using simulations at the 24/7 University of Copenhagen Center for Veterinary Simulation. We focus on aligning day-one competencies across medicine and surgery with the needs of companion
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affiliated researchers. We are an open and dynamic community of staff and students that explores the fascinating diversity of the worlds that humans inhabit and addresses the burning issues of our time
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Associate Professor or DTU Tenure Track Assistant Professor (junior group leader) in Fermentation...
does the manufacturability of whole-cell-based biosolutions influence their real-world performance in the field? Your research will aim to understand the molecular-genetic foundation for how microbial
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project manager, preferably with a background in natural science, e.g., microbiology, molecular biology, or fermentation processes, to manage activities within ‘The Casein Mission’. The project runs
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. You will also work closely together with course teams to develop data generation, data analysis, modeling, simulation, and machine learning workflows as well as develop custom data science-related