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the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and new information technologies (platforms, cloud computing
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layers across heterogeneous platforms. Ideally you would have familiarity with deploying or supporting AI and machine-learning workflows, including large models, large network analytics, or multimodal data
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the control measures for externally funded research projects Line manage the business and project control unit Contribute to the improvement of management information for planning and strategy formulation
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health and (quality of) health care (applying microeconometric methods to survey data as well as to linked administrative datasets). - Testing the “contact hypothesis” (particularly, does diverse contact
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, startup acquisition, and startup wage setting. The PhD project will be primarily empirical, with a focus on applying modern micro-econometric methods to large scale datasets such as administrative data
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-data.nl Opens external . ODISSEI brings together an eclectic range of linkable data including administrative, survey, web and media data, providing analytical environments to answer ground-breaking
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turn ideas into action. • Strong attention to detail, analytical and problem-solving skills, and organisational sensitivity. • Ability to present complex data insights to non-technical stakeholders
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communication tools and platforms (e.g., CMS systems, social media management tools, MS Teams/SharePoint). Strong analytical and writing skills, with the ability to translate complex information into accessible
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require strong analytical and methodological skills. Candidates will handle data preprocessing and analysis, ideally with proficiency in Python, R, or MATLAB. Collaboration within a multidisciplinary team
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experience relevant to Governance of Migration Temporalities. Strong analytical and critical thinking skills, attention to detail, and the ability to deliver high-quality written and oral outputs. Demonstrated