183 web-developer-"https:"-"https:"-"https:"-"Newcastle-University" Postdoctoral positions in Denmark
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methods to decode the physics, chemistry, and biology of complex multiphase bioreactors. Working within PROSYS, you will have the freedom to design rigorous simulation campaigns, develop reduced‑order
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/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development
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research units and industry. DTU Bioengineering has approx. 400 employees, of which 2/3 are scientific staff. The department is located at DTU Lyngby Campus. Technology for people DTU develops technology for
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imaging. This position offers the opportunity to develop cutting-edge platforms for real-time monitoring of human tissue metabolism in physiologically relevant models. You will play a key role in our
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the University of Southern Denmark (SDU) to develop a well-accepted, innovative hybrid cheese. The project focuses on unlocking texture and flavor performance in hybrid cheese prototypes through a
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
activities are project-based with a solid tradition in cross-disciplinary research and international collaboration. Job description The postdoctoral researcher will work with Dr. Robert Ladwig on developing
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Are you interested in catalysis, and can you contribute to the development of chemical technologies for thermoset plastic recycling? Then the Skrydstrup Group at the Interdisciplinary Nanoscience
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for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for
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impact. At DTU Chemical Engineering, you will join a dynamic research environment at CERE (Centre for Energy Resources Engineering), working at the forefront of solvent development for CO2 capture. You
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will be part of a research environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental