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collaborate with the QuaTrEx developers. Job description As part of the MALOQ project, you will train state-of-the-art ML models to learn atomic, electronic, and vibrational properties of large-scale atomic
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
The Center for Quantitative Genetics and Genomics (QGG) is a recognized center for research related to breeding for climate related traits like methane emissions and feed efficiency in cattle
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modelling, molecular engineering, manufacturing and marketing. For HydroCow, we are building on an earlier developed ultra-high-throughput screening platform that allows for the rapid identifying of improved
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prior experience doing so is not required. Additional beneficial but optional experience and skills include multi-level modeling, LLM and/or NLP, behavioral coding, and/or psychophysiological monitoring
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appreciation of others will help ensure the lab operates smoothly and remains a space for meaningful scientific discovery. Prior research experience in neuronal and immune cell model systems, the fields
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of Alaska communities facing environmental shifts”. This multi-year project is focused on connecting climate induced changes of terrestrial materials fluxes to coastal marine species and communities in
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that addresses these issues. The center brings together experts on climate impact research and process-based modelling of biogeochemistry, agronomy, biology and geography from Aarhus University and University
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moisture data sets and data-driven approaches (e.g., complex network methods) Develop models to predict gatekeeper locations and their relationship to streamflow as a function of climate and landscape
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months), working on the European Research Council (ERC) funded project HydroConnect. These two positions are based in Bergen, Norway at CMI, and will be included in the Climate and Natural Resources
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of scientific AI. Focus Areas: Cross-Domain Interoperability: Develop common readiness templates, standardized metadata models, and APIs to enable seamless integration across diverse scientific domains