144 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" PhD positions in Netherlands
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information and critically engage with it. An important aspect of the project is its educational component, embedded in Critical Language Awareness (CLA) theory. The project aims to develop guidelines
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part of a collaborative research team with partners from the Norwegian Polar Institute and Alfred Wegener Institute. This position offers opportunities to develop skills in satellite data analysis
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fluctuations.The methods will crucially support the development of stochastic bifurcation theory. During the PhD, you will initially work on a pre-specified subproject of your choosing, which allows you to develop
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key challenge is to develop local energy roadmaps that align with regional and national scenarios while addressing specific research questions at the urban level. This includes analyzing the impact of
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unique opportunity to work in an internationally recognized research centre and gain valuable research experience at a top-ranked European university. As a PhD candidate, you will develop your own research
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with supervisors to discuss the PhD project development Write three to four publishable articles/chapters, with supervisory guidance Present research findings at national and international conferences
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/experimental pragmatics/cognitive linguistics as specified in the project description Engage in regular meetings with supervisors to discuss the PhD project development Write three to four publishable articles
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research experience at a top-ranked European university. As a PhD candidate, you will develop your own research project in consultation with the supervisory team. You will conduct independent and original
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to develop intensified processes for CO2 conversion into sustainable synthetic fuels via cobalt-catalysed Fischer-Tropsch Synthesis (FTS), based on advanced catalysis and reactor engineering concepts
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and foster equitable decision-making? To answer this question, the research will focus on three key areas: Characterizing human-AI collaboration for bias mitigation – Developing a conceptual framework