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offers the chance to obtain further academic qualification (usually PhD). Tasks: The Chair of "Physics of Quantum Materials" (https://tu-dresden.de/mn/physik/ifmp/pdqm ) is seeking a motivated researcher
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offers the chance to obtain further academic qualification (usually PhD). Tasks: The Chair of "Physics of Quantum Materials" (https://tu-dresden.de/mn/physik/ifmp/pdqm ) is seeking a motivated researcher
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excellence in robot-assisted radical prostatectomy and demonstrated proficiency across multiple surgical approaches and robotic systems. Strengths in perioperative optimization, complex case management, and
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systems. The group is part of the Würzburg-Dresden Cluster of Excellence “Complexity, Topology and Dynamics in Quantum Matter” and the DFG-funded Collaborative Research Center 1143 “Correlated Magnetism
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equivalent experience in Mechanical Engineering, Physics, Materials Science, or a related discipline Strong hands-on experience in designing, building, and assembling complex mechanical and vacuum systems
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 19 hours ago
programme No Description/content The IMPRS for "Quantum Dynamics and Control" is a graduate school with its headquarters at the Max Planck Institute for the Physics of Complex Systems in Dresden/Germany and
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research and creative imagination is key to solving complex problems of our time. The institute is led by Prof. Annette Diefenthaler, who holds the Chair of Design and Transdisciplinarity and builds on 20
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and international meetings is also expected. You have PhD in materials sciences, physics, chemistry or a related discipline, with a strong focus on the physical understanding of material’s properties. A
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12.04.2026 directly via our application form below this job advertisement on our website. The application process remains open until the position is filled. If you hold an international higher education
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an ability to combine perspectives and quantitative methods from multiple scientific traditions is essential to gain insights and make predictions for systems characterised by many degrees of freedom and