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work certificates) as a single PDF to application(at)prif.org with a subject line that consists of your name and the code “RWP_25.1” (e.g. “Mustermann,Max_RWP_25_1”). The application deadline is the 2nd
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are looking forward to receiving your online-application (http://www.ipk-gatersleben.de/en/job-offers/) as one single pdf-file by 30.11.2025. If you have questions or require more information, please contact
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++ coding skills • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) • Enthusiasm and self-drive towards driving research forward :) How to Apply: • Required Documents: CV, research
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is expected. Background Information: Nat. Chem. 2015, 7, 105; Chem. Eur. J. 2019, 25, 4590; Angew. Chem. Int. Ed. 2019, 58, 418; Nanoscale 2021, 13, 19884. www.sengegroup.eu https://www.ias.tum.de
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- Proficient C++ coding skills (this is critical and will be tested) - Experience with deep learning frameworks (TensorFlow / PyTorch) - Excitement, self-motivation, and commitment to revolutionize the field
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the code “CNTR_25.2” (e.g. “Mustermann,Max_CNTR_25.2”). Please note that there is no application deadline for this application process. Applications will be reviewed in an ongoing manner until
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exercise solutions. [1] https://automata-tutor.model.in.tum.de/ [2] https://link.springer.com/chapter/10.1007%2F978-3-030-53291-8_1 Requirements: We are looking for highly motivated candidates who will fit
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the topic: 1. M Balaish, JLM Rupp, Widening the Range of Trackable Environmental and Health Pollutants for Li‐Garnet‐Based Sensors, Advanced Materials, 2021; https://doi.org/10.1002/adma.202100314 2. M
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal
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im Rahmen Ihrer Bewerbung, abrufbar unter https://portal.mytum.de/kompass/datenschutz/Bewerbung/. The position is suitable for disabled persons. Disabled applicants will be given preference in case