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model predictions Writing of the thesis and publication about the relation of experimental data and model results Your Profile: A Masters degree with a strong academic background in physics, mathematics
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, computer science, physics, material science, earth science, life science, engineering, or a related field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a
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on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming (Python, C++) and computer (Linux, Windows) skills
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to the projects Further information on the Leibniz Graduate School on Aging (LGSA) can be found at https://lgsa.leibniz-fli.de/ . For the first step, please acquaint yourself with the application procedure on our
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, identify socio-technical barriers, and co-produce practical guidance for more inclusive, human-centred digital health practice. Application Process To be considered for this PhD, please complete
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partner is possible Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in
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Communication and Film. The decision is based upon the written application and artistic portfolio which have to be submitted. Details about the portfolio can be found on this website https://www.daad.de/en
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: Additional Information on DAAD Study Scholarships in the Fields of the Performing Arts https://www.daad.de/en/studying-in-germany/scholarships/scholarship-database/information-performing-arts/">Additional
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organisation. Where to apply E-mail karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2025D-187 Requirements Additional Information Website for additional job details https://www.fz
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personal data is saved by the DAAD in accordance with the Federal Data Protection Act and with the EU Data Protection Regulation insofar as this data is needed to process the application. Submitting