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develop innovative methods to measure diverse isotope dimensions for methane, as well as organic precursors, in order to trace carbon flow in methane-related ecosystems; 2) You will conduct culture
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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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will develop and carry out the project under the supervision of Dr. Senka Neuman Stanivukovic, Dr. Ksenia Robbe, and Dr. Florian Lippert. Together, they bring expertise in environmental humanities
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-centred artificial intelligence. Demonstrated experience in prototype development and with quantitative and qualitative research methods, preferably also experience with user-centred design. Interest in
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environment where you will have ample opportunity to develop your own research ideas on the topic; a position for 18 months with an extension to a total of four years after positive evaluation; a full-time
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deadline: 1 August 2025 Apply now In this PhD position, you will do research within the Biofabrication team with a specific focus on developing an engineered pancreatic endocrine construct to counter Type 1
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that field. Your most important activities in this position will be: Developing, improving and harmonising LCA methods, databases and tools to measure environmental impacts in projects in which clients
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want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
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well as their cleanroom fabrication by silicon micromachining will be investigated. The main challenges are (1) the design and modelling of new sensor topologies, (2) development of the MEMS fabrication processes, (3
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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