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of publications as well as letter(s) of recommendation, if available) electronically (as a single PDF) ) to recruiting(at)senckenberg.de stating the reference #11-25013 by 24 September 2025 or apply online, using
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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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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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deleted there in compliance with data protection regulations. In case of any further queries relating to the field of activity, please contact Dr. Volker Klemann via email. If you have any general questions
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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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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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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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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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, research summary (maximum 2 pages), academic certificates (in English, in German or a certified translation to English or German) by 10th July 2025 in electronic form as a single pdf file to
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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