41 web-development-"https:"-"https:"-"https:" Postdoctoral positions at Nature Careers in Denmark
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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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. Specifically, the postdoc will develop and test up-scaled microbial electrosynthesis reactors involving advanced electrochemistry, reactor design, and scaling approaches. Expected start date and duration of
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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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sets, lexicon development, use of instrumental techniques to correlate or predict sensory characteristics and multivariate data analysis. This position is part of an interdisciplinary research project
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be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and
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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