78 computer-science-programming-languages-"St"-"University-of-St"-"St" positions at University of Groningen in Netherlands
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Organisation Job description As a researcher, you will play a key role in developing and implementing the DNPP’s research programme. Your responsibilities will include conducting independent and
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Archaeological Collections Within the Third Science Revolution Reconceptualizing Research Methodologies in Heritage and Collection Studies Candidates from diverse backgrounds—including heritage studies, museum
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, molecular inorganic chemistry and molecular materials chemistry are embedded in the institute. The research programme is focused on synthesis, catalysis, functional materials, bio-organic chemistry/chemical
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. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
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, analysing the data, developing prognostic and simulation models and writing scientific articles. The PhD position is embedded in the research programme Operations of FEB’s Research Institute, while building
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://www.rug.nl/research/discrete-technology-production-automation Qualifications You have A Doctoral degree in Biomedical engineering, Artificial Intelligence, or other equivalent degree programs from top
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chain management in a short research proposal. Organisation The PhD position is embedded in the research programme Opera of FEB’s Research Institute. The project will be supervised by dr. Chengyong Xiao
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Computational Cognitive Science supervise PhD students acquire external funding promote the societal relevance of your research contribute to the organisation of the faculty, for example by participating in
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-year PhD program, you will join a collaborative research team applying cutting-edge methods from Experimental/Behavioral Economics alongside modern macroeconomic modelling techniques (e.g. DSGE). You'll
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tumour response to treatment can then bring this much-needed clarity, and implementing this understanding into computational tools can provide the potential for rapid clinical response to patients