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research approach, including audio-visual participatory methods, in order to co-produce knowledge together with women in these communities. Training in these advanced methods will be provided by
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Animal Sciences Group (ASG) is launching a new investment programme centred on the digital transformation of the animal sciences. The programme initiative aims to further strengthen knowledge and methods
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Doctoral Network (MSCDN) uniting leading European universities, hospitals, research institutes and industry partners. It trains 15 PhD candidates in an interdisciplinary programme covering genetics
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engineering, materials science, or a closely related field, with demonstrated interest or experience at the interface of computation and data driven methods. Experience with computational modelling techniques
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into demonstration missions in coordination with other engineering domains in the Directorate of Technology, Engineering and Quality; defining the Directorate’s IOD/IOV strategy in line with the programme directorates
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Deadline 15 Mar 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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Deadline 19 Mar 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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how Europe measures economic well-being at the local level. In this project, you will develop innovative small area estimation methods to produce high-quality composite SDG indicators, combining survey
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) Application Deadline 26 Mar 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you curious about the promises and challenges of Generative