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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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Further, we will prefer candidates with some of the following qualifications: Teaching and supervision experience at the BSc and MSc level Interest and experience in developing competitive national and
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supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in planning and conducting molecular laboratory work
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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
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researchers from the department have established companies to develop new medicinal treatments founded in professional scientific basic research. You can read more about the department here and about the
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stream from the green biorefinery demoplant at AU Viborg. The project will focus on pulping of the press cake and development of textile filaments from the refined cellulose-fraction. Expected start date
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digestibility are central areas. We are seeking a skilled, motivated, and successful candidate to develop and support this research project at the intersection of recombinant food proteins and their molecular and
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Are you interested in optical characterization and can you contribute to the development of the project with instrumentation of Terahertz Time-Domain Spectroscopy for the plastic sorting industry
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will