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or applied) genomics, molecular biology, (epi)genetics, systems biology or related disciplines. Demonstrated wet lab experience; preferably in (single-cell)-omic techniques, for example sn-Multiomics, ATAC-seq
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adaptation is crucial for both natural plant populations and crops. Heritable trait variation fuels such adaptation. While heritable trait variation in plants can arise from genetic and epigenetic sources
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of information on all the minerals found on the Moon, Mars and in meteorites, and the Machine Learning (ML) software that combines deep learning multi-class and multi-label classification algorithms
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learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new data-driven
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, including bioacoustics algorithms developed in the team. What you will do Conducting rigorous research at the intersection of ML and wildlife bioacoustics; Actively participating in regular group and one
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national center for biodiversity information. Among other things, Naturalis runs large-scale ML services for nature recognition, including bioacoustics algorithms developed in the team. What you will do
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Doctoral Network focused on accelerating therapy development for leukodystrophies: rare genetic disorders affecting the brain's white matter. The network aims to strengthen the full translational pathway
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on accelerating therapy development for leukodystrophies: rare genetic disorders affecting the brain's white matter. The network aims to strengthen the full translational pathway, from understanding disease
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, genetics, immunology, and social sciences to develop evidence-based, personalized donation strategies. Within this multidisciplinary project, you will play a central role in the work package focusing
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missions intelligently and safely without revealing sensitive information? As a PhD candidate, you will develop verifiable, secure-by-construction planning and control algorithms, contributing to trustworthy