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- University of Amsterdam (UvA); Published yesterday
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Science Theory and Methodology (ICS) Graduate School. external link Your qualities We are looking for an enthusiastic candidate, who has (almost) finished a Master programme in Sociology, Interdisciplinary
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computational approaches to identify latent dimensions of language network organisation. You will be embedded within the Donders Graduate School and will also participate in the International Max Planck Research
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allow us to better understand the large-scale impacts of these changes for global water supply. A personalised training programme will be set up, reflecting your training needs and career objectives
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Optimisation and Operations Research. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute
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part of the National Growth Fund programme “Ombion-CPBT”, which is a national centre for valorizing and disseminating animal-free innovations and expertise in the biomedical domain. The PhD project
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and master programme) was English, or; – scoring at least 100 on the TOEFL iBT test or 7.5 on the IELTS test. Two (academic) reference letters, , preferably from a thesis supervisor or research project
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, under the supervision of Dr. ir. Raffaele Sommese, Dr. Antonia Affinito, and Prof. Dr. Anna Sperotto. About the organisation The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS
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team players who want to play an active role in an inter- and transdisciplinary research community and training programme Our offer a job for 1 year, with an extension to a total of four years upon
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community and training programme Our offer a job for 1 year, with an extension to a total of four years upon successful assessment; a working week of 36 - 40 hours and a gross monthly salary between € 3,059
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- and transdisciplinary research community and training programme; professional command of both English and Dutch; demonstrated skills in quantitative and qualitative research methods, or—where experience