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combining large-scale ecological datasets, species trait data, ecological network analyses, and quantitative modelling. The postdoctoral researcher will also coordinate and lead field resurveys of historical
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of the energy system, security of supply, and the distribution of costs and benefits among market participants. Theme B: Power system flexibility in data centres Research on this theme addresses large data
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Ability to curate and integrate large scale biomedical data Experience with workflow management and HPC environments Interest in RNA biology, alternative splicing and computational method development Strong
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activities. As a major centre of education with a large student population, it also features a vibrant cultural scene. For more information about the University of Jyväskylä, the city of Jyväskylä, and living
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, implement and benchmark machine learning models for large-scale health datasets consisting of diverse information including structured medical history, demographics, clinical notes, laboratory measurements
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on health data as well as training AI models on health data across national borders. Key responsibilities Design, implement and benchmark machine learning models for large-scale health datasets consisting
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dispersal networks across Europe. The successful candidate will combine large-scale ecological datasets and species trait data, and use quantitative analyses to investigate how novelty of ecological networks
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functioning, and how this knowledge can be incorporated into biodiversity conservation. The doctoral researcher will focus on seed dispersal networks across Europe. The successful candidate will combine large
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analyze large-scale genomic data and your enthusiasm for the work. You do not need to tick every box. If you have strong experience in WGS/WES data handling and are eager to learn, we want to hear from you
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strong focus on digital data and methods. The successful candidate is expected to benefit from and collaborate with other team members, including the PI and approximately ten other researchers (MSc and PhD