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excitations and excitonic effects using advanced Wannier-based methods * Quantum transport in polymer materials with electron–phonon coupling Full details and application instructions: https://www.ch.nat.tum.de
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Max Planck Institute for Medical Research, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 7 hours ago
biology, developmental biology, biology, biophysics, physics, bioengineering, biomedical engineering, biotechnology, or a related discipline. We are looking for a candidate with strong experimental aptitude
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journals What you bring to the table Completed scientific university studies in the field of electrical engineering, electronics, communication engineering, information technology or comparable with a
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Engineering Computer Engineering Physics Mechatronics Information Engineering or a related field. Ideally, you have experience in several of the following areas: Electronic circuit or measurement system
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inaccessible biological information and accelerate breakthroughs in medicine, biology, and environmental health. Our interdisciplinary team of scientists and engineers from more than 25 countries develops
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Description We seek outstanding candidates for several PhD fellowships to work on a variety of interesting projects in the brand-new low-temperature quantum electronics laboratory of Prof. Ferdinand
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
model systems. Your profile Master’s degree (or equivalent) in Physics, Applied Mathematics, Mechanical Engineering, or a related field Strong interest in fluid dynamics, turbulence, and nonlinear
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Zukünftige Lebens- und Arbeitswelten. Über uns Der Lehrstuhl für Ergonomie unter der Leitung von Prof. Dr. Klaus Bengler forscht und lehrt mit ca. 20 Mitarbeiter/innen im Department of Mechanical Engineering
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appointment holding a master’s degree with excellent results in disciplines like Aerospace Engineering, Mechanical Engineering or a comparable field of study • Proven ability to identify and solve problems
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will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team of data