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at the University of Amsterdam is inviting applications for a PhD position in mathematical machine learning. The position is part of the research project “Mathematical Foundations for Explainable AI”, funded by
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Environments (GLORIA ) and the Mountain Invasion Research Network (MIREN ). Project description The biodiversity crisis is in part driven by invasive species, yet many non-natives are only recognized as invasive
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-series analysis, but candidates with a degree in sports and a strong computational leaning are welcome as well. We offer Your job with impact: Become part of ETH Zurich, which not only supports your
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Financing yes Type of Position Full PhD Working Language German Required Degree Magister (Masters degree course) Master Areas of study Sociology, Social Science, Economics Description Description As part of
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in Discontinuous Galerkin Finite Element Methods and the Julia programming language will admitted to the selection. Workplan and the objectives to achieve: This scholarship aims to advance a time
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, and geochemical investigations, including stable isotope and trace element analysis. The position is to be filled not later than on 1st March 2026. Where to apply E-mail m.godzwon@twarda.pan.pl
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Profile First Stage Researcher (R1) Positions PhD Positions Country Austria Application Deadline 31 Oct 2025 - 12:00 (Europe/Vienna) Type of Contract Temporary Job Status Part-time Hours Per Week 30 Offer
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processes to address global challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing georesources. We are part of the Helmholtz
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Austria Application Deadline 15 Nov 2025 - 00:00 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 20 hours per week; will be increased to 30 hours per week once the dissertation
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 19 days ago
Doctoral Candidate in computational neuroscience. (m/f/d) The position The position is part of an international collaborative effort (4 labs) to test computational models of episodic and spatial memory by