51 phd-mathematical-modelling-ecological-modelling PhD positions at University of Groningen in Netherlands
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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Organisation Job description In the Engineering and Technology Institute Groningen (ENTEG), we are looking for a talented and motivated PhD candidate on electrochemical ammonia synthesis in Protonic
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challenges holding back an even wider usage. This PhD position is part of the national NanoMedNL consortium that aims to counter these challenges and thereby accelerate and support the development of novel
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Applications are invited for a fully-funded four-year PhD position that will explore how rural youth (ages 18–30) use both online and offline methods to make sense of sustainable development and the
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. The candidate will join a lively and highly international team of PhD and Master students working on human demography, and ecology and evolution in wild animals, supported by laboratory and analytical technicians
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economic vitality, beyond income and business models, including regional collaboration and innovation, can be stimulated. The four-year PhD will culminate in a thesis comprising three to four international
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in or around the top 100 on several influential ranking lists. Currently approximately 34,000 students are enrolled and about 1,500 PhD students work on their theses. It has a highly international
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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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Do you want to challenge prevailing narratives and contribute to new, ethical approaches to heritage management and knowledge production? This project presents an opportunity for a PhD candidate to
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garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary