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and through the organization of leading seminars in partnership with the various Belgian universities and the National Bank of Belgium. Job description The position involves, in equal parts, teaching
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://www.ghent.ac.kr . Job Summary Full-time Teaching Assistant with PhD position – Ghent University Global Campus Department: Department of Environmental Technology, Food Technology and Molecular Biotechnology (KR01
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universities and the National Bank of Belgium. Job description The position involves, in equal parts, teaching and research duties, as well as some service activities. Teaching (in the field of finance, in a
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an innovative academic education to more than 20 000 students, conduct pioneering scientific research and play an important service-providing role in society. We are one of the largest, most international, and
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centres and private companies to enable the FAIRification of omics data and databases interoperability and develop knowledge graphs for data-driven decision-making to rationally design microbial communities
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organizational duties and no teaching obligations. We offer a competitive remuneration package (including a monthly allowance, social security, and insurance expenses) and generous funding of research related
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candidate is expected to develop a methodology to quantify the underground cable hosting capacity for high voltage transmission grids from the perspective of reactive power and harmonic resonances/stability
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diverse contacts. Various opportunities to broaden your expertise and to train in many cutting-edge technologies. Training courses in academic, technical, and career skills. An initial 1-year contract
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KU Leuven/BioTeC+ (Chemical & Biochemical Process Technology & Control) | Belgium | about 1 month ago
, an interdisciplinary research programme, will gather universities, research centres and private companies to enable the FAIRification of omics data and databases interoperability and develop knowledge graphs for data
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into their operations. Additionally, we aim to develop simulation models capable of utilizing forecasted process knowledge graphs for optimization. These models will empower decision-makers with what-if analyses