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for time-series/wearables data, demonstrated by relevant courses and master thesis. Having publications in the area is highly valued as well demonstrated ability to work both independently and as a team
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First Stage Researcher (R1) Country Netherlands Application Deadline 18 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU
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experience with deep learning, machine learning and/or time series analysis. Good programming skills in Python or similar languages. Experience with using machine learning in the context of neuroscience
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data, including regression, classification, representation learning (e.g., spectra, micrographs, or time-series), and uncertainty-aware modelling for experiment planning. You are proficient in Python and
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
for rapid and resilient decarbonization. Your research will combine time-series analysis, supervised and unsupervised learning, and explainable AI methods to uncover the dynamic patterns preceding
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
resilient decarbonization. Your research will combine time-series analysis, supervised and unsupervised learning, and explainable AI methods to uncover the dynamic patterns preceding technological
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models tailored to Dutch industry needs, focusing on underserved modalities (e.g. sensor data, time series, multimodal signals) and edge applications. The consortium develops an open-source toolbox
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18 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Mathematics » Probability theory Mathematics » Statistics Researcher Profile First Stage
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series with speakers from top international schools, separate brown bag and PhD seminars, several annual conferences, and a visitor program with eminent finance scholars. For more information see http
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theses can be accessed via this repository: https://www.erim.eur.nl/research/publications/phd-series/ Opens external In addition to the research, the candidate will also have the opportunity to gain