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for a data engineer to join the University’s BI & Analytics team. This team consists of technical experts and non-technical experts who work together to steer the data-driven journey of the Eindhoven
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insights from event logs generated by the execution of work processes. As with other analytical disciplines, the significant involvement of human analysts to interpret raw event data and derive actionable
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that quantify the concentration of very small, currently indetectable, analyte molecules. The newly developed sensors will be applied in the area of water quality monitoring to detect phosphate and nitrate
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situations, well beyond foreseeable computing capabilities. We aim to revolutionize the modeling of rarefied flows for emerging technologies by developing novel approaches that merge data-driven (machine
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networks. Modelling and control of linear parameter varying systems. Spatial-temporal multi-physics systems and model reduction. Data analytics, machine learning, artificial intelligence. Constrained and
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organic chemistry. Experience with the synthesis and characterization of polymers or organic molecules is essential. Analytical skills, initiative and creativity are highly desired. Ability to work in an
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analytics for large event sequences and high-dimensional data. It has generated several award winning contributions at major visualization conferences (IEEE VIS, IEEE InfoVis, IEEE VAST, EuroVis); several
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). More information on the METRAMAT project and other METRAMAT DC positions, both at TU/e and at partner institutions, can be found on the METRAMAT website: http://metramat.eu/recruitment . Job requirements
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working together with different stakeholders in an dynamic and ambitious organization? Do you have excellent analytical, communication, and organizational skills? If so, we have an exciting opportunity
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focuses on supporting people management in the faculties and services specifically through HR consulting and recruitment. The HR Development teams focus on policy-making, HR analytics, staff development