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- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); today published
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- Delft University of Technology (TU Delft); 17 Oct ’25 published
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- Eindhoven University of Technology (TU/e); Published yesterday
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Field
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6 Nov 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Database management Computer science » Informatics Engineering » Biomedical engineering
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11 Nov 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Engineering » Electrical engineering Engineering » Process engineering Researcher Profile
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of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and
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) 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 EU programme Is the Job related to staff position
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22 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Informatics Computer science » Programming Researcher Profile First Stage
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
11 Nov 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Engineering » Simulation engineering Environmental science
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Application Deadline 2 Dec 2025 - 23:00 (UTC) 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 EU programme
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, Research MSc), e.g. in econometrics, computer science, mathematics, physics, economics, quantitative marketing. Experience in programming (R and/or Python) Strong interest for societal problems and in
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in basic control-flow analysis. Process mining, as it stands today, is primarily based on computational techniques and algorithms to analyze and optimize processes. Methods such as process discovery
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Engineering, Physics, Applied Mathematics, or related discipline. Proven track record in numerical methods and computational fluid dynamics. Proven track record in machine-learning methods for computational