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Field
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identification Work alongside internationally recognised experts within a collaborative and supportive research environment. About You We’re looking for a candidate with: First Class Honours (or equivalent) in a
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of Distributed Mixture-of-Experts (MoE) and Small Language Models (SLMs) to create autonomous, intent-driven networks. This isn't just about connectivity; it’s about building a collaborative, agentic ecosystem
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We require very good oral and written skills in English, as well as very good skills in writing scientific publications. Additional qualifications We are looking for you who is eager to explore
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-year law student with excellent academic results (cum laude or higher). Good knowledge of Dutch, French and English. You have a demonstrable interest in research and the subject matter, including social
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on the interface of topology and higher algebra (https://www.math.ru.nl/symmetry/ ), based at Radboud University Nijmegen, Utrecht University, and Vrije Universiteit Amsterdam. This community meets frequently
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, data analysis, or modeling is an advantage Very good written and spoken English, German is an advantage Willingness to work in an interdisciplinary manner in an international research team Independent
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desirable Knowledge of energy research and sustainable chemical processes is an advantage Independent and self-motivated way of working High motivation to complete the doctorate within three years Very good
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Good communication skills and the ability to work effectively with academic and industrial partners Willingness to travel for secondments in France Applicants should hold or be expected to obtain a
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understood by all members of the committee, including those who are not experts in the subfield of the candidate. The reference letters must be submitted online by the reference writers on this site) 7) A
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, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ . Project