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applications ranging from Computational Physics, Computational Finance to Computational Electronics. For more details see https://acm.uni-wuppertal.de/en/ . A successful applicant is expected to have a
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/de/hochschule/stellenausschreibungen/. Please send your complete application (cover letter, CV, certificates etc.) by 28th of July 2025, quoting the reference number 14/2025, preferably electronically
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questions, please feel free to contact Prof. Dr. Münch via email at daniel.muench at uni-giessen.de . JLU aims to employ more women in academic research. We therefore particularly encourage female
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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 institutes of the DRESDEN-concept environment. The chair hosts its own computer cluster and has full access to the high-performance computing infrastructure at ZIH Dresden, one of Germany’s leading
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(IHRS NanoNet) is an interdisciplinary research school in the field of molecular electronics open to outstanding students of all nationalities with backgrounds in physics, chemistry, electrical
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electronically by 15.07.2025 to igk2495-apply@fau.de.
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to submit the dissertation after 3 years and 9 months of research. Desired requirements specific to this project include: experience with a range of relevant computer programming languages such as Python, R
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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 quoting the reference number"RTG2861-A4" in
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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 quoting the reference number"RTG2861-A4" in