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of the Faculty of History and the Arts, Prof. Dr. Julia Burkhardt, Ludwig-Maximilians-Universität München, Geschwister-Scholl-Platz 1, 80539 Munich,Germany, no later than 23.04.2026 (date of receipt): https
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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documents by March 26, 2026 (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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data handling Strong self-initiative and willingness to learn and to quickly gain an understanding of new subject areas Joy in working independently, as well as within a team Strong problem-solving
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your online-application as one single pdf-file (http://www.ipk-gatersleben.de/en/job-offers/) by 25.03.2026. If you have questions or require more information, please contact Kerstin Schweigert (jobs
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for biotechnology. By combining mecha-nistic, statistical, and machine-learning models with automated experimental execution, the project will enable traceable, reproducible, and metadata-rich experimental planning
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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proof of immunity against measles. Do not overlook the inclusion of Academic Europe in your application. Where to apply Website https://www.academiceurope.com/ads/research-data-scientist-in
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or TOEFL Submit application to https://www.grk2338.med.uni-muenchen.de Accommodation The International Office helps visiting academics, PhD students, and postdocs who are travelling to Munich for a set
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development is important to us – we support you specifically and individually e.g., through training and networking opportunities specifically for doctoral candidates (JuDocS): https://go.fzj.de/JuDocs FAIR