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experience and ambitions We look for scholars who are completing, or have completed within the past four years, their doctoral studies in a relevant field. Applicants should have demonstrated the ability
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active role in advancing the research projects of the MQS group. We also have research activity and experimental facilities in quantum optics, so research in this direction is also a possibility. The exact
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experience and ambitions We look for scholars who are completing, or have completed within the past four years, their doctoral studies in a relevant field. Applicants should have demonstrated the ability
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of the atomic layer deposition tools. Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials science Experience with thin film deposition using atomic layer
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. Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials science Experience with thin film deposition using atomic layer deposition is required Experience with surface
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on the theoretical and the practical implementation aspects. You are expected to take an active role in advancing the research projects of the MQS group. We also have research activity and experimental facilities in
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experimental research with similar or related topics, cleanroom microfabrication, and strong interest in micromechanical systems. Additionally, the candidates should be excellent team players. Experience with
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to collaborate with international research teams The person selected for the position will report to Prof. Yaolin Xu Head of Energy Materials & Interfaces (EMI) Group. Your experience and ambitions We are looking
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University and at the MQO/QNOF group level by contributing to research management and funding applications within the joint team. Your experience and ambitions PhD in one of the following broader experimental
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of materials. We are searching for a Postdoctoral Researcher with excellent numerical skills and a deep understanding of condensed-matter physics concepts. Experience in machine learning, DFT, symmetry aware