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and research protocols in compliance-focused environments. Advanced computer skills with experience using Microsoft Word, Excel and PowerPoint; specific experience in working with a range of analytical
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to carry out research in the field of plant breeding, phenotyping, crop modelling, GWAS and genome analysis, particularly in cereals Demonstrated capacity to manage and analyse large data sets. Track record
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. · Monitor fellow supervision at all participating sites. · Coordinate educational activities for rotating fellows from outside institutions. · Prepare and submit all information required and
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powered by: Cookie Information Nettsiden bruker cookies Vi ønsker at du skal være trygg når du bruker dette nettstedet. Vi benytter cookies for å sikre at du får en best mulig brukeropplevelse og
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Max Planck Institute for Biological Intelligence (Seewiesen site), Seewiesen | Germany | 2 months ago
. The Avian Sleep group aims to understand how birds reconcile the need for sleep with ecological demands that seemingly require wakefulness. Using EEG data loggers in the wild, we demonstrated that birds can
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processes, our work leverages big data and systems biology approaches to uncover novel insights into human health and performance. This role offers an exciting opportunity to grow your research profile while
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properties of vibrational sources in large built-up structures, such as cars or airplanes. We will incorporate data from measurements and implement these sources into large-scale structure-borne sound
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biomolecules. Proficiency in programming or scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction
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unique data collection opportunities, including large-scale agricultural household surveys, measurement experiments (such as DNA fingerprinting for plant variety identification), and impact studies
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for understanding key determinants of community connectedness To engage in data science debates, notable around the scope for large natural language models to be used to predict community level outcomes and the role