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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
to update our scientific conceptual models. The data foundation will come from the long-term lake monitoring initiative LTER-DK, which includes several Danish lakes equipped with real-time and high-frequency
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detection methods Background in public outreach or science communication Familiarity with high-performance computing environments Proficiency in Danish and/or German Who we are The Department of Ecoscience is
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sintering technology to ensure high density. The aim of the PhD work is to fabricate a solid-state Li metal battery with a performance at par with the state-of-the-art liquid electrolyte Li-ion battery
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through teaching and research of high international quality. In your daily work, you have a close interaction with competent colleagues. You will process tissues harvested from hibernation models, perform
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affiliated with the Novo Nordisk Foundation CO₂ Research Center (CORC) , where the successful candidate will manage and coordinate projects within the CO2-to-protein program, which is a part of the CO2
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strong-field quantum electrodynamics and wishes to expand into other or similar areas of research performed at CERN, preferably areas that may be synergetic with the current activities. We are thus looking
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intellectual and academic leadership in Digital Design and/or Construction Automation and leading new research directions with the potential to transform practice. Leading an internationally recognised programme
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demonstrated the ability to perform high-quality research, evidenced by publications in established journals. Excellent communication skills in English and academic writing are required. Active dissemination
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in relevant fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g
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fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab