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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 18 days ago
decidable and solvable via a SAT-Solver. This approach has a major flow as it is not possible to be sure that the formula is satisfiable for larger models. Interestingly, communities in Knowledge
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addition to technical and scientific knowledge, the candidate of choice will have excellent organizational and interpersonal skills, and thrive in a collaborative, fast-paced, and multi-disciplinary research setting. Our
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research and above-average knowledge of Austrian labour and social law as well as good other legal knowledge (please enclose a complete transcript of records with your application!); excellent knowledge
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a comparable field of study Modelling experience in the field of water supply or drainage systems and/or data-based models desirable Knowledge of urban drainage, nature-based solutions (NBS), water
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or February 2026) Supervisor: Prof. Robert Sitnik, Dr. Vibekananda Dutta (co-supervisor) Project Overview: action This project explores semantic reasoning capabilities for intelligent robotic task execution by
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University, you will develop innovative methods to make geographic data smarter and more question-aware, contributing directly to the future of spatial reasoning and sustainability. Your job Answering
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February, in its current version, Decree-Law no. 57/2016, of 29 August, approving a regime for contracting doctorates to stimulate scientific and technological employment in all areas of knowledge (RJEC), in
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mathematics, physics, computer science, engineering, or a related quantitative field. Strong knowledge of differential equations and applied mathematical modeling. Proficiency in at least one scientific
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, knowledge integration, KG completeness, commonsense-reasoning or similar preparation of publications for submission to top-tier NLP or AI venues contribution to teaching and/or local BSc./MSc. thesis
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, contributing to ground-breaking discoveries with real-world implications for cancer patients. To be successful you will need: A PhD in (awarded or near completion) in Computational Biology, Computer