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and adult zebrafish using microinjection, infectious disease challenges, analysis of immune-relevant gene expression, in vivo imaging, isolation of innate immune cells for in vitro analyses, and
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PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
) in the EU), will be compared to later protected life-stages. Methods include detailed organ histopathology, advanced imaging and spectroscopy, gene expression profiling, behavioral analysis
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis
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a large network of researchers at Danish and international universities. Main supervisor is Associate Professor Prajakt Pande. About your responsibilities as a research assistant at CED Your primary
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colleagues dealing with CCUS, and industrial partners in Denmark as well as abroad. Your primary tasks will be to: Perform physical-chemical analysis of solvents and gases Perform corrosion experiments
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data sources (e.g., registry data, surveys, and organisations). Your competencies Digital methods such as machine learning based classification, computational text analysis, network analysis, web
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Candidate (DC), commencing 1 November 2026 or as soon as possible hereafter. The position is a full‑time appointment for 36 months and is funded by Horizon Europe. MultiLAwa is a MSCA Doctoral Network . The
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Build, Division of Civil and Environmental Engineering, within the general study programme Civil Engineering and work with numerical modelling, time series analysis, and soil characterization
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Are you an experienced researcher in microbial genomics and bioinformatics with a strong record of university teaching, and expertise in whole-genome sequencing (WGS) analysis, machine learning and