48 component-labeling-agorithm-cuda Postdoctoral positions at Nature Careers in Denmark
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well as international partners. Field experiments, digital technologies - including modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. You will be part of a research
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of cutting-edge technologies. You will be part of the Power-to-X project E-CH4 Booster, which targets the development and upscaling of bioreactors for conversion of CO2 into green methane. The project is an
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The position is for a two-year period starting from 1 February 2026 or as soon as possible therefter. Job description The position is part of an interdisciplinary project “High throughput Virtual 3D
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in oxygen-depleted waters, so called dark oxygen production. Processes of this type were recently discovered in microbial cultures and could be important for microbial communities and element cycling
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and embedded cryptography, and quantum programming languages. The section is part of the Department of Mathematics and Computer Science, and other research sections at the department are Algorithms
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Technology (OFT). As part of Aarhus Universities role in the project we are to bring about process understanding, development of the oil upgrading and handling strategies and development of analytical protocol
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protein regulation by NMR and investigates protein disorder, dynamics and interactions. We are part of the Danish Center for Ultra-high field NMR spectroscopy and have access to facilities for SAXS, smFRET
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Postdoc in Genetic Engineering of Green Microalga Chlamydomonas Reinhardtii with the Purpose of A...
Experiment grant awarded to Assistant Prof. Narcis-Adrian Petriman. Lab and Research Environment You will be part of the research group led by Assistant Prof. Narcis-Adrian Petriman (Petriman group) within
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Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
languages. The position has a duration of 3 years. Due to the highly interdisciplinary nature of the position, the hired candidate will be part of both the section of Artificial Intelligence, Cybersecurity
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independently and as part of a team Preferred Qualifications Experience in graph-based AI models, multi-omics data integration, or network inference Background in epigenomics, gene regulation, or aging biology