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of the university central mail service or the time stamp on the email server of TUD applies) to: TU Dresden, ScaDS.AI, Herrn Prof. Dr. Wolfgang E. Nagel, Helmholtzstr. 10, 01069 Dresden, Germany or via the TUD
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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via operando liquid-phase transmission electron microscopy (LP-TEM). Your tasks: Self-motivated and independent planning, execution, and analysis of research in the scope of operando electrocatalysis
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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scanning electron microscopy (SEM), electron backscatter diffraction (EBSD), X-ray diffraction (XRD), and nanoindentation, for generating their own data sets Your Profile: A completed university degree
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academic and industrial cooperation partners Requirements: excellent university degree (M.Sc., Diploma) in either computer engineering, computer science, electrical engineering or any related natural science
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special payments good work-life balance ("audit familiengerechte hochschule") For further questions, please feel free to contact Prof. Manzini via email (Ivan.Manzini@physzool.bio.uni-giessen.de ). JLU
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detailed structural, magnetic and spectroscopic characterization, in particular using electron paramagnetic resonance (EPR). The project will be in collaboration with a team in the physics department
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supplementary pension benefits, child allowances, and special payments good work-life balance ("audit familiengerechte hochschule") For further questions, please feel free to contact Prof. Manzini via email
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degree in (analytical) chemistry, biochemistry, or a related discipline Hands-on experience in mass spectrometry-based proteomics (e.g. DDA, DIA, PRM) Experience with proteomic data analysis Computer