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acquisition. Experience in multi-stakeholder environments and a strong network is an advantage; teamplayer with proven abilities to train and supervise laboratory staff; excellent communication skills; in
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you submit a multi-authored piece, please explicitly indicate your contribution to the chosen output. You can apply up to and including 12 April 2026. The first interviews are scheduled between 13-24
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multi-disciplinary project. You also possess: a successfully completed MSc degree (120 ECTS points) in Human Nutrition, Food Science, or a closely related field; strong quantitative skills (e.g. R, Python
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of the position. About the project: NO-REGRETS is a 5.5-year, multi-disciplinary research program co-designed with stakeholders to understand the ecological and economic tradeoffs of upscaling offshore wind farms
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-cell and bulk transcriptomics, mutant screens and transformation approaches to identify signalling pathways and regulatory components. You will analyze data and integrate multi-modal datasets by applying
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in data-driven research, data science and artificial intelligence (AI). Seven PhD tracks form the core of the programme and will be carried out jointly by Wageningen BioVeterinary Research (WBVR
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SDIs (or SE-SDIs). We are seeking a postdoctoral researcher to develop and demonstrate a conceptual SDI model for integrating multi-sourced, multi-modal data into a coherent data infrastructure and
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Group (BIS), the Centre for Crop Systems Analysis (CSA), and the Plant Production Systems Group (PPS) with supervision by Dr. Casper Quist/Dr. Klaas Bouwmeester, Prof. Jonne Rodenburg, Dr. Paul
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embedded within three research groups: the Centre for Crop Systems Analysis (CSA), the Plant Production Systems Group (PPS) and the Biosystematics Group (BIS), with supervision by Prof. Jonne Rodenburg, Dr
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diversity. Work closely with drought, photosynthesis, and field teams to identify scalable proxy traits and integrate multi-environment phenotyping datasets. Publish your findings in scientific journals