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on recent findings from boreal forest ecosystems and contributes to a better understanding of the microbial feedbacks that shape our planet’s climate. You will be supervised by Prof. Martin Bader, Prof
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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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) and wet (Amazon) forests in Bolivia. Furthermore, the PhD will quantify functional traits of trees relevant to fire resilience. The PhD will be supervised by dr. Masha van der Sande , Prof. Marielos
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effects on senescence, using an epigenetic clock”, with the Seychelles warbler (Acrocephalus sechellensis) as a model system. The project is supervised by Prof. Hannah Dugdale (University of Groningen
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highly recommended. Familiarity with experimental techniques for clean-room fabrication and sensitive electrical measurements is highly recommended; a good command over programming languages such as Python
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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 Is the Job related
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The faculty
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Will you advance the state-of-art in 6G
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31 Oct 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Cybernetics Computer science » Programming Engineering » Biomedical engineering
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quantitative modeling; Strong expertise in programming, including proficiency in languages commonly used in data analysis and machine learning, such as Python; Excellent verbal and written communication skills