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Description We are opening a new Research Associate position in the attosecond science team at the Center for Free-Electron Laser Science (CFEL) in Hamburg. In the CFEL-ATTO group, we develop advanced attosecond technology to track and control electron dynamics in matter. Our approach enables...
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and IT develop innovative radiopharmaceuticals and novel tools for functional characterization, improved imaging and personalized treatment of tumors. The Department of Positron Emission Tomography is
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Description For our location in Hamburg we are seeking: PhD Position: Method Development for Hierarchical X-Ray Imaging at Synchrotron Facilities Limited: 2 years | Starting date: earliest possible
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Description The Institute for X-ray Physics of the University of Göttingen welcomes applications for a PhD Position (f, m, d) starting as soon as possible. The salary is based on TV-L E13 (75 %, currently 29.85 hours/week). The position is funded by the German Federal Ministry of Research,...
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applications in information technology and are based on electrical, magnetic or optical functionalities. The Department of Quantum Technologies is looking for a PhD Student (f/m/d) - Imaging magnetic structures
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no more than 4 years earlier Academic Requirements doctorate Number of Scholarships Every year the Foundation awards about 450 Humboldt Research Fellowships for postdoctoral and experienced researchers
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at the postdoctoral level can work with minimal administrative constraints, and enjoy the freedom to engage in meaningful exchange with other up-and-coming colleagues as well as with distinguished senior researchers
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to coherent phase contrast imaging, particularly to ptychography at synchrotrons. Ptychography is a super resolution phase retrieval imaging technique capable of resolution down to single digit nanometres
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? This special programme is intended for highly-qualified foreign graduate and doctoral students as well as postdoctoral researchers and senior scientists. DLR-DAAD Fellowships are defined and awarded
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. The project involves close collaboration with experimentalists who provide the relevant data. Machine learning methods will be applied to link experimental (imaging) data to a mechanistic model. The results