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Welcome to Maastricht University! Do you want to understand and predict how people engage with digital health interventions using AI? Join us to turn real-world sensor and app data into smarter
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, commission the High Granularity Timing Detector (HGTD), and develop the new universal readout system (FELIX) for ATLAS detector systems. The group also has a strong record in track reconstruction, flavour
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PhD Student Brain multiregion singlecell transcriptomics of Myalgic Encephalomyelitis/CFSyndrome NIN
12 Sep 2025 Job Information Organisation/Company Royal Netherlands Academy of Arts and Sciences (KNAW) Research Field Neurosciences » Neurobiology Researcher Profile First Stage Researcher (R1
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you do at our university, you are always encouraged to broaden your horizons, develop your talents and reach your full potential. About the Faculty and Institute The Faculty of Science at Leiden
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Do you want to be part of a large scale national project and work on multi-commodity energy districts? The envisioned research is part of the research program Intelligent Energy Systems (IES
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PhD Student Brain multiregion singlecell transcriptomics of Myalgic Encephalomyelitis/CFSyndrome NIN
two hours a week, it is possible to increase the number of days off from 29 to 41 days a year (with full-time employment). For a complete overview of the terms of employment, please refer to the web
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your
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13 Sep 2025 Job Information Organisation/Company Royal Netherlands Academy of Arts and Sciences (KNAW) Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1
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environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. The TU Delft
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for machine learning and scientific computing, newly developed techniques could quickly have a large impact and reach a large audience of end users. Beyond Utrecht University, we anticipate collaborating with