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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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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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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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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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1.5m buildings and 7m homes by 2050. Existing approaches in practice are too slow and inefficient to meet these targets. The PRE-MADONA project develops a game-changing solution that incorporates data
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for suitable further educational, technical and soft-skills development in consultation with your supervisors Additional comments Are you interested in this position? Please send your application via the 'Apply
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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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& Facilities (RE&F) Engagement & Research Services (ERS) Marketing & Communications (M&C) RSM BV Institute for Housing and Urban Development Studies (IHS) OK Cancel Expertise Any Any Administration & Secretariat