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Field
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Analysis of vulnerabilities in low-resource language settings, and the effect of typological diversity on the security landscape in multilingual settings Formal semantic or symbolic methods for monitoring
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) Positions PhD Positions Country Luxembourg Application Deadline 31 Mar 2026 - 12:11 (Europe/Luxembourg) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Apr 2026 Is the
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world. We look forward to receiving your application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is
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the PhD program for humanities, culture, and educational sciences. Apply for this job See advertisement About the position We are looking for applicants with an exciting research idea who is motivated
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Unlock how geographic data can answer complex societal questions: in this PhD you develop semantic and AI-driven models that transform diverse geodata into actionable answer maps. Join our ERC-funded
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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or transformed from other maps. The ERC funded project GeoTrAnsQData project addresses this by developing a GeoQA method that converts questions into executable geo-analytical workflows, turning geodata into new
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in physics. Documented experience or formal training in AI/ML methods. You must have a strong academic background from your previous studies and have an average grade from your Master's degree study
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interactions among neighbouring agents and their environments. The research will exploit an interdisciplinary approach that combines control theory, nonlinear dynamical systems, robotics, and formal methods
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PhD position in modelling and representation of geographic questions Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40