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- Wageningen University & Research; Published today
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, public opinion polls, women’s rights legislation across US history and comparatively, and the role of masculinity norms in the retreat of men from employment and family. The pre-doc will use large data
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exceptional opportunity for a well-qualified and talented individual to play a leading role in a large interdisciplinary and cross-institution project. AI.RDN+ is unique in its aim to be at the forefront
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, public opinion polls, women’s rights legislation across US history and comparatively, and the role of masculinity norms in the retreat of men from employment and family. The pre-doc will use large data
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we deal with are relevant to everyone around the world and Wageningen, therefore, has a large international community and a lot to offer to international employees. Because we expect you to work and
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psychology or a related topic Experience of writing scientific papers in peer-reviewed journals or dissemination at conference Skills and experience in project management Experience of working with large data
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outreach, data collection, sample collection, laboratory work, and/or field work. Collects and/or organizes data through the implementation of research procedures and understanding of research goals
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good English language proficiency (a mininum of CEFR B2 level). For more information about this proficiency level, please visit our special language page . We offer you Wageningen University & Research
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outreach, data collection, sample collection, laboratory work, and/or field work. Collects and/or organizes data through implementation of research procedures and understanding of research goals
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the pedagogy. Project ‘POLARIS’ (production optimisation & large-scale data analysis for robust industrial systems) is being led by Domin a UK leading company industrialising the additive manufacture (3D
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Internal Number: 119197-en_US This position will work within the Hopkins Business of Health Initiative?s Graduate Academy Program. We are seeking a Research Assistant who will oversee data collection, data