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-genome sequencing and resequencing data from non-model arthropods, particularly insects and spiders. A substantial part of the work will involve processing and analyzing genomic data from historical
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upgrades on existing HTL-WO pilot plant chemical analysis of HTL products, data processing and analysis from experimental campaigns to produce scientific publications and reports active participation in
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Applicants are invited for a PhD Fellowship/Scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Animal and Veterinary Sciences programme. The position is
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drone-based transient electromagnetic (TEM) data. The project will build on anEMone, our fully differentiable TEM forward-modelling framework implemented in PyTorch, to develop supervised and self
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a pivotal role as the principal SCS crystallographer. Key responsibilities will include outreach, SCXRD data collection, data processing, structure solution, and user support. To make SCS a success
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, developing causal identification strategies in observational data, and conducting human experiments with AI chatbots as adaptive dialogue interventions. The postdoc will lead the empirical work on work
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-gas emissions using a hyperspectral camera. We are currently focusing on methane. The work will include processing and analysing hyperspectral observations and developing and validating methods for
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, including XAI, as well as for data access and query processing. Aarhus University is the second-oldest and second-largest university in Denmark. Aarhus is the second-largest city in Denmark and is
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associated thermodynamic calculations Experience with microbial inhibition models Model-based data processing Excellence in both written and spoken English You will be working in the research group
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. With this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform