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@tum.de Please send your application including a comprehensive CV, motivation letter and transcripts as a PDF file and stating the reference number 2025-19-S1/S2-KS/MK via email by 15.12.2025 to: Anja
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Humboldt Universität zu Berlin / Leibniz Universität Hannover | Hannover, Niedersachsen | Germany | about 15 hours ago
-qualified candidates with disabilities. Additional information For further information, please contact the scientific coordinator of the RTG2965: Dr. Víctor González-Alonso (email: grk2965@math.uni
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for this purpose, in particular electron microscopy, fluorescence reflectance imaging, scanning laser ophthalmoscopy, fluorescence angiography, and electroretinography. REQUIREMENTS: Completed scientific university
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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 pdf file to kerstin.achtruth at tu-dresden.de
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(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-dresden.de by sending it
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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number 2025-17-S3-ADP via email to: Anja Albrecht (Administration) recruiting.leibniz-lsb(at)tum.de . We look forward to receiving your application! Data Protection Notice: As part of your application
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fundamental optical and electronic properties towards ferroelectric functional structures”. The research topics focus on experimentally gaining comprehensive knowledge of optical properties, properties
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discipline (computer science, neurosciences, biology, cognitive sciences) • Skills in perception psychology, neurosciences, machine learning, tracking technology and/or computer graphics as well as interest in
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technology and/or computer graphics as well as interest in fundamental research and experimental working. Strong skills in VR, psychophysics, deep learning or computer simulation are another advantage Job