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underlying greenhouse gas fluxes Support training of young researchers in using biogeochemical observations and data analysis Write and contribute to international peer-reviewed publications Contribute
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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to specifically the area of measurements, analysis, and documentation of the GHGs (CO2 and CH4) from peatland established with sphagnum moss under controlled hydrology. After some years the upper part of the living
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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
and build relationships. Teamwork and cross-disciplinary research are key elements for the Institute. Who we are The Department of Ecoscience is engaged in research programs and advisory work covering
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background in organic synthesis and transition metal catalysis. The candidate must be familiar with organometallic chemistry and the synthesis of organometallic complexes. The candidate must be familiar with
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successful candidate will have one or more of the followings: Expertise in spatial transcriptomics (single-cell RNAseq). Expertise in imaging and image analysis. Experience with genetic engineering (plasmid
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scientific journals Research experience in some of the areas of fungal transformation, CRISP/Cas9 modification of fungal genes, analysis of metabarcoding data, and soil microbiology. Additional qualifications
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University, Denmark. Expected start date and duration of employment This is a 2–year position from 15 May 2026. Job description The work will be focused on analysis of faba bean interactions with rhizobia in
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analysis to translate THz signals into optical material properties such as refractive index and absorption coefficient. Development of machine learning algorithms for material classification. Exploration