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of extracellular matrix (ECM) remodelling during wound healing. Yet, many proteolytic processes remain uncharacterized due to the complexity of the ECM and limitations in current detection strategies. Advances in
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at the intersection of machine learning and operations research to design and operate the water networks of future sustainable societies. Water networks are characterized by their complex topologies and highly non
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DTU National Food Institute, at the Technical University of Denmark, is seeking highly motivated applicants for a Strategic Alliance PhD scholarship focused on the designing and modelling of switchable
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multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD
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modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning
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Computer Vision There is growing trend towards explainable AI (XAI) today. Opaque-box models with deep learning (DL) offer high accuracy but are not explainable due to which there can be problems in
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experimental work and risk modeling, you will help uncover how chemicals and microplastics are released from consumer products and contribute to the development of Safe and Sustainable by Design (SSbD
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Skłodowska-Curie Doctoral Network SCARPA, a European training network committed to circularity and sustainability in the footwear industry. Through advanced experimental work and risk modeling, you will help
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are looking for candidates who have experience with developing AI or machine learning models, as well as bacterial sequence analysis. You should be familiar with relevant programming languages such as Python