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that span a broad range of modern physical chemistry, materials science, and biochemistry questions. Our qualification program, measures for recruiting, gender equality and family friendliness are equally
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independently managing multiple tasks while ensuring attention to detail, accuracy, and quality results Strong project management skills Experience developing study materials Ability to self-motivate and work
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format. This will allow combinations of neural networks with physics models. The project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable
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NEST project RAM³, which aims to enable the use of recycled aluminium in high-performance applications through machine learning, computer vision, and materials science. The focus of this position is on
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short courses in the core subjects of this PhD programme including process intensification and green chemistry. This project is part of the Process Industries: Net Zero (PINZ) Centre for Doctoral training
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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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-matter physics, and materials science. Our research encompasses three research areas of new approaches in precision synthesis of PCL (A), PCLs’ properties and functions (B), and Experimental and
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-matter physics, and materials science. Our research encompasses three research areas of new approaches in precision synthesis of PCL (A), PCLs’ properties and functions (B), and Experimental and
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, condensed-matter physics, and materials science. Our research encompasses three research areas of new approaches in precision synthesis of PCL (A), PCLs’ properties and functions (B), and Experimental and
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parameter set for quantum internet tasks. Is Your profile described below? Are you our future colleague? Apply now! Education · MSc degree in physics, quantum technology, materials science, or