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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms
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of Sensory & Consumer Science studies, qualitative and quantitative data collection and -analysis as well as manuscript writing is requested. The candidate is expected to undertake data collection
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species providing the data foundation for adverse health effect risk assessment Assess hot spots in the Arctic of chemicals in local communities and exposure assessments Assess food web dynamics in relation
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risk assessment of chemicals . Your tasks will include: Conducting literature searches and compiling findings into structured reports. Extracting and organizing relevant data from literature sources
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: Experience with bioinformatics and statistical analyses of whole genome sequencing or other genomic data A strong conceptual background in evolutionary biology and population genetics Good writing skills and
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Aarhus University with related departments. Contact Information Further information about the position may be obtained from associate professor, Brian Julsgaard, +4587155654, brianj@phys.au.dk. Application
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biologging multi-sensor acoustic tags on bats and toothed whales in the wild and combine these data with array recordings, noise playbacks and phantom target generators on trained animals in the lab
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or at slaughter/end of life. You will evaluate how relevant and reliable these systems are for decision-making at different levels, and if a system provides the expected information with sufficient quality and
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Post-Doctoral Fellowship in risk assessment and prioritization and remediation of dumped munition...
of the risks. MUNI-RISK will generate detailed data on the extent of munitions-related chemical contamination in the Baltic Sea. The projects will be conducted in close collaboration with a range of
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. Find more information on “Enzyme Engineering Group” here . Qualifications Completed PhD in the field of Biochemistry, Molecular Biology, Biotechnology or relevant field. Strong background in enzymology