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are interested in interdisciplinary research across electrical engineering / electromagnetism, numerical methods, numerical mathematics, high-performance computing, and computational science. Time permitting, we
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production systems for precision and ultraprecision manufacturing of complex geometries for polymer and natural materials replication processes. Core aspects of the position will be the focus on the trade-off
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Join an interdisciplinary team that brings state-of-the-art AI
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of the integrated programme To be eligible for the integrated scholarship, you are (or are eligible to be) enrolled at one of the faculty’s master programmes in physics or quantum information science. Students
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background in one or more of the following fields: Physics, Physical Chemistry, Materials Science, Nanoscience, Optical Spectroscopy, or Solid-State Physics. Experience with ultrafast spectroscopy, femtosecond
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chemistry, materials science or equivalent having carried out research in an experimental field related to the thesis. Core competencies: crystal growth thermodynamic modeling chemical and physical
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: A completed university degree (Master’s or equivalent) with excellent grades in computer science, materials science, physics, or a related discipline Practical experience in data science, including
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may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply
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Materials' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a ‘Personal Statement’ (this is a mandatory field) - upload
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, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1