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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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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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maintains strong ties with the local experimental groups of TUD and the institutes of the DRESDEN-concept environment. The chair hosts its own computer cluster and has full access to the high-performance
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date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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• Willingness to work in a team and in a research network • Computer programming experience • Knowledge in electronics • Experience in the field of optics and quantum optics is desirable We offer: • A truly
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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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academics to apply for this position. The following application documents should be sent to Çağrı Çöltekin cagri.coeltekinspam prevention@uni-tuebingen.de via email. A short (two pages, max.) cover letter
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of the molecular species of the radionuclide in cellular compartments/cells using spectroscopic techniques (e.g., UV-Vis, Raman, X-ray absorption spectroscopy) and microscopic methods (e.g., electron microscopy