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- 
                Field
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                candidate will further develop research skills under the mentorship of Dr. Setoguchi and will have opportunities to develop their own research question, compose and submit their own grants, write and publish 
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                applicant should have prior experience in data analysis, data visualization, and preferably the development of interactive web-applications through approaches such as Bokeh, Shiny, Taipy, Streamlit etc 
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                theory Online tool/web development Running controlled experiments Game-theoretic modelling Excellent communication skills in English, ability to work in multidisciplinary teams, and scientific creativity 
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                or co-author of at least 10 articles, in the scientific area that the Competition is open, indexed in the Science Citation Index Expanded of the Web of Science from Clarivate Analytics where document type 
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                considered as a bonus. Deliverables You will be assigned to writing either three or four articles in prominent academic journals or prepare a monograph manuscript. Additional Information Benefits Terms 
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                Science and Engineering, or Chemical Engineering, with a view to develop photoactive materials via additive manufacturing in the scope of the project NEWATER “Multifunctional 3D-Printed Membranes 
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                inference methods in these data, assemble and summarize relevant literature, and will be encouraged to develop their own independent research program in maternal and child health and/or housing and 
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                transport for inverse problems One of the central topics of the research projects is the further development of theory and methods for the concept of optimal transport for inverse problems. Optimal transport 
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                expertise. Their research has been recognised by over 100 research awards, and multiple members of staff have been named by Web of Science as amongst the leading researchers in the world in psychiatry 
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                %; B.3.: Scientific publications indexed in Web-of-Science/Scopus, with a weighting of 30%. B.1 – Proven Knowledge in the Development, Implementation, and Training on New Work Systems Knowledge Knowledge