142 phd-data-maining "Computer Vision Center" Postdoctoral research jobs in Netherlands
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- Delft University of Technology (TU Delft); Published yesterday
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Employment 0.8 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 24 March 2026 Apply now A driven postdoctoral
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. You have: A PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or a closely related field. Demonstrated ability to conduct high-quality academic
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8 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Arts » Visual arts Researcher Profile Recognised Researcher (R2) Application Deadline 20 Apr 2026 - 21:59
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7 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Arts » Visual arts Researcher Profile Recognised Researcher (R2) Application Deadline 20 Apr 2026 - 21:59
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collaborate with the Principal Investigator and help coordinate research with and supervise the research of two PhDs working on the project (one who focuses on Nigeria, and one who focuses on Mozambique
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teaching line within the Biology Bachelor’s programme and its own track Behavioural Ecology in the Master Environmental Biology. More information For more information, please contact Dr. Jorg Massen
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of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, Earth system science, climate etc., with a thesis subject relevant
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Employment 1.0 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 31 March 2026 Apply now Join the RE:HOME project
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, by the measurement of Earth’s oblateness in 1958. Measuring the gravity field reveals Earth’s state of mass distribution and its dynamics. It also provides the geoid as a reference for sea level
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of the parameter space in relation to the statistical model. One of the main goals of SLT is to quantify the complexity of such models w.r.t. the data generating process (and some prior probability distribution