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organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and
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scientific programming and numerical / statistical analysis of simulated and observed data. Candidates should be able to demonstrate motivation and a strong eagerness to learn, and have the ability to both
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, and eager to learn. You are able to work independently as well as collaboratively in a team. In addition, you have: A completed education in analytical chemistry at higher professional education (HBO
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engineering efficient bioprocesses for high quality natural products. The group offers expertise in reactor engineering, down-stream processing and metabolic engineering to teach and develop innovative bio
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with a PhD in Human-Computer Interaction, Remote Sensing, Geo-Information Science, Cognitive Science, or a closely related field. The ideal applicant possesses a strong technical foundation, as
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. The faculty has over 180 staff, organized in eight academic departments and four support departments. Our academics collaborate in six research centres and teach more than 1,000 students. Our staff and students
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referring to the collective and organised pursuit (responsible governance) of a better world (sustainable societies). We study and teach management at the level of public and private organisations. In
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the Section members, supporting teamwork, the exchange of experience and lessons learned and the gathering of feedback; Contributing to the continuous improvement of working procedures, tools, processes, expert
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
an excellent opportunity to study the Greek language as written by non-scholarly writers in antiquity. This project will collect, annotate and study the ancient corrections in this corpus to learn more about the
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from resources like Wikidata or fan wikis. In addition, both the full text and the existing triples can be leveraged for the extension of the knowledge graph via automated reasoning, inferential learning