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authentication/authorization flows (e.g., OAuth2, Keycloak) An interest in scientific computing, open data, and climate/energy research A proactive approach to improving development workflows and team practices A
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background in physics, optics/photonics, materials science, nanotechnology, computer science, or related fields. Responsibilities Operate hyperspectral imaging systems (VIS–NIR/SWIR) for scanning of advanced
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program. The Integrated Ph.D. stipend is open for appointment from 01.09.2025. The position is for 4 years, and the workplace is in Aalborg. Your work tasks An Integrated Ph.D. stipend is available in
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program. 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
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program. 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
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are to support the integration of computational workflows, data pipelines, and interactive dashboards, within research projects (including population surveys and randomized trials). Your main responsibilities
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including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure integrity and life assessment, heating and cooling, renewable energy systems, and modelling and
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, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as well as an extensive national and international researcher network. The department consists of nine research
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innovative research, contracted policy advice, and education. We offer professional laboratories, greenhouses, semi-field, and field-scale research facilities, advanced computing capacities as
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DTU Tenure Track Assistant Professor in Nutrient-Focused Processing in Ultra-Processed Food Syste...
structure and function. This includes the integration of experimental data and the rigorous validation of computational models to ensure reliable and interpretable outcomes. Collaborate closely with internal