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Requirements A Master of Science in Environmental Science, Ecology or Sustainability Science, or related disciplines. A completed Master of Science degree by Summer 2024. Excellent research skills and ethical
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of European environmental policies; Willingness to acquire new skills as required for the required research of the PhD project. Specific Requirements A Master of Science in Urban Planning, Geography, Social
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and Master's levels. Collectively, these activities will comprise twenty percent of the contracted time. Requirements Specific Requirements We look forward to your application if you have the following
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main supervisor, Utrecht University), Prof. Aveliina Helm (PhD co-supervisor, University of Tartu), Dr. Sietze Norder (PhD co-supervisor, Utrecht University), Robin Aanstoot (National Park Utrechtse
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University, the Netherlands. Supervisory team: Professor Niki Frantzeskaki (PhD main supervisor, Utrecht University), Dr Katharina Hölscher (PhD co-supervisor, Utrecht University), Professor Huiwen Gong (PhD
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(Jupyter Notebooks). You are familiar with Github. You have excellent verbal and written communication skills in English (or Dutch), which you can prove with for instance your Bachelor's or Master's thesis
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organisations. Requirements Specific Requirements A Master's degree (or equivalent) in computational linguistics / natural language processing or a related filed in hand by the starting date; excellent programing
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also for this PhD project) has made promising headway on this problem by combining supervised principal components regression (SPCR) with MI. The MI-SPCA methods developed in that work have shown
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curriculum vitae; your motivation letter; the contact information for two academic referees; a writing sample (max 10.000 words, upload under the section "Master's thesis"). The position is expected to start
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curriculum vitae; an example of a scientific text written by yourself, such as your (R)MA thesis or a published or unpublished scientific article. Please upload under the heading 'Master's thesis'; a short