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the Northern Netherlands, approximately 31 million kilos of clothing are discarded annually, of which less than 50% ends up in textile containers for reuse or recycling. More than half of all discarded textiles
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) developing and validating preprocessing pipelines; (3) architecting and comparing spectral-only and multimodal (HSI + NIR + Raman + RGB) deep-learning models; (4) implementing robust sensor-fusion strategies
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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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, Development Studies or related field, and have experience with economic, gender and inequality studies in Africa. Conditions of employment We offer you in accordance with the Collective Labour Agreement
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dissecting RNA structure ensembles in living cells. Particularly, you will: Develop novel methods (both wet and computational) for the accurate interrogation of RNA 2D and 3D structures in living cells. Apply
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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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growing need to help instructors develop critical AI literacy, so they can understand both the opportunities and limitations of these tools. It is also essential to support them in creating inclusive
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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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-research-projects-awarded-through-open-competition-domain-science-m-programme ). Responsibilities and tasks: Development of novel electrocatalysts for N2 fixation. Fabrication of single cells with targeted
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of