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, algebraic geometry and mathematical physics" grant. The successful candidate is expected to collaborate on research projects on the representation theory of quantum loop groups (as well as their Yangian and
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University of Geneva, Department of Mathematics Position ID: University of Geneva -Department of Mathematics -PHD [#28616] Position Title: Position Type: Student programs Position Location: Geneva
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] Subject Area: Mathematics - Probability Theory Appl Deadline: 2025/09/15 11:59PM (posted 2025/07/04, listed until 2025/09/15) Position Description: Apply Position Description The Department of Mathematics
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] Subject Area: Mathematics Appl Deadline: 2025/08/31 11:59PM (posted 2025/07/03, listed until 2025/08/31) Position Description: Apply Position Description Professor or Assistant Professor (Tenure Track
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Publication list Contact details of two refereesPlease send your application to [nicola.serra+sinergia@uzh.ch]. Further information about [Department of Mathematical Modeling and Machine Learning or Department
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Your position Your focus will be archaeozoological and isotope analysis of Neolithic lakeshore settlements in Switzerland. This PhD position forms part of an SNSF Weave/Lead Agency Project entitled 'Deciphering Lakeside Settlements' (grant number 10002949). The successful candidate will analyse...
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for recognizing handwritten mathematics, diagrams, and code, and manage systems that provide timely feedback or rubric-based scoring. In your role focusing on open-source engineering, you'll design clean, modular
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic
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) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will