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planning, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, focusing on women’s short- and long-term health outcomes within the specific work
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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Three-Year Postdoc Opportunity in Ecosystem Structure, Functions and Services in Offshore Marine ...
monitoring tools such as eDNA, underwater microphones and cameras. Specifically, you will concentrate on gathering data associated with these tools and investigating ecosystem interconnectedness and
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
. This is enabled by an extensive farm-based infrastructure with large scale measurement of methane emissions and feed intake on individual cows, as well as collaborations with industry and international
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experience in processing large data sets (preferably using R or Python) Highly motivated and eager to work in an interdisciplinary marine research environment Excellent communication and teamwork skills, with
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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the Excellence Cluster for Systems Neurology (SyNergy ) and a Leducq Network on Brain Endothelial Cells. Our environment As part of the DFG-funded Excellence Cluster SyNergy, member of large collaborative research
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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mechanisms – cellular, synaptic, and/or systemic – that engender anhedonia. Leveraging patient-derived data to corroborate mechanistic insights is highly encouraged. The major objectives of the project