170 phd-in-mathematical-modelling-of-biochemical-reactions PhD positions in Netherlands
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We are looking for two PhD candidates for a project within the Doctoral Network “MonaLisa”, a consortium of 20 partners composed of high-profile universities, research institutions and companies
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to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and
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palynology and organic biomarker and biogenic calcite geochemistry at several sediment sequences. You will collaborate with fellow PhD candidates or postdocs carrying out climate model experiments
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Published Thursday 10 Jul 2025 Deadline Monday 15 Sep 2025 Work area PhD Organisational unit Erasmus School of History, Culture and Communication (ESHCC) Salary € 2.901 - € 3..707 Employment 1 fte
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research across a wide range of disciplines, from classical fields such as biology and mathematics to interdisciplinary areas like artificial intelligence, pharmacy, and nanoscience. The PhD position is
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you like to contribute to an increased understanding of carbon cycle feedbacks in the climate system? Do you thrive in the dynamic blend of seagoing fieldwork, laboratory experiments and modelling? As a
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Organisation Job description We are seeking a candidate for a PhD project on the philosophical aspects of data science and data science use, with specific attention for the use of data science
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problems. The mission of this consortium is to realize a new revenue model in the textile value chain, by scaling up and strengthening the (business/government/NGO) activities around sorting and recycling
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PhD position on the transition to a green steel industry Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 36 to 40 Application deadline: 25
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Vacancies PhD position VIA PRUDENTI - Collaborative Infrastructure and Asset Management Practices Key takeaways Society is facing major challenges like labour and material scarcity, digitalisation