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To research, design, implement, and evaluate new methods for streaming data management, that can handle hundreds of millions of updates per second. Irène Curie Fellowship No Department(s
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Irène Curie Fellowship No Department(s) Industrial Engineering and Innovation Sciences Reference number V39.7474 Job description Today, many companies in various industries need to manage highly
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motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully funded for a term of four years. The research direction will be determined together
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other societal stakeholders. Research environment In this PhD project, you will conduct innovative multidisciplinary research at the intersection between industrial engineering/operations management and
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sustainability transitions. The TIS staff teaches in the BSc program 'Sustainable Innovation', the MSc programs ‘Sustainable Energy Technologies’ and 'Innovation Management’, and in university-wide programs
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, design, circular economy, sustainability and/or business models? Do you like the idea of working with management and innovation theories and combining them with quantitative and qualitative research
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University of Technology (TU/e). This PhD position is part of the research project 'Modular prefabricated construction: a circular asset management system for closed-loop supply and logistics chains' awarded
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excellent technical infrastructure, on-campus children's day care and sports facilities. An allowance for commuting, working from home and internet costs. A Staff Immigration Team and a tax compensation
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PhD students and a Postdoctoral researcher (as well as two academic supervisors and a project manager). Furthermore, you will be working together with a company that will bring the research results
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and a project manager). Furthermore, you will be working together with a company that will bring the research results into practice, so we are looking for a candidate with excellent teamworking skills