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, collaborating with researchers, policymakers, industry partners, and farmers who all work on translating complex data and modelling results into actionable insights. Key responsibilities Develop and apply
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. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
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Aarhus University is seeking two postdoctoral fellows for the Novo Nordisk Foundation CO2 Researc...
of defined microbial communities, and modeling on metabolic interactions. Your qualifications You should have a PhD in microbiology, molecular biology, molecular genetics, or related field, and
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LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our understanding of vegetation
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NHANES and related datasets to identify patterns linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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High-pressure XPS measurements may also be envisioned for most promising catalysts. Similarly, are we collaborating with CatTheory on predicting reaction pathways and microkinetic modelling screening
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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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Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
turbulence profiles provide additional data for training and testing. A specific aim is to further develop the methodology of modular compositional learning (MCL). Here, an aquatic ecosystem model is