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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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referees by October 31, 2025 (stamped arrival 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
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positioning techniques, involving novel optical sensing schemes for nanoscale positions and angles and novel feedback electronics • Publication of the results and dissemination in talks on national and
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Please send your application by email, with the subject "PhD Application - HIV p24", no later than October 1, 2025, to: Dr. Enrico Richter Institute of Virology University Hospital Bonn ✉ Email
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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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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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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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application documents (cover letter, resume, certificates in a single PDF file) exclusively by email. The university is committed to gender equality and therefore strongly encourages women to apply. People with
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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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The TRR404 "Next Generation Electronics With Active Devices in Three Dimensions [Active-3D]" is a Collaborative Research Center/Transregio between TUD Dresden University of Technology and Rheinisch