102 data-"https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at Nature Careers in Germany
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actively support the compatibility of work and family life and attach great importance to an equal and inclusive culture of cooperation. General information about the IfADo can be found at www.ifado.de
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Professor (W3 / W2 with Tenure Track to W3) for Materials and/or devices for Photonics and Quantum T
to: Friedrich Schiller University Jena Dean of the Faculty of Physics and Astronomy Max-Wien-Platz 1, 07743 Jena, Germany E-Mail: dekanat-paf@uni-jena.de For questions and information about the procedure, please
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with your work Please find further information and eligibility criteria on www.dkfz.de/clinicianscientist Contact: Dr. Mariana Schulte-Sasse Phone: +49 6221 42-1696 The position is initially limited to 2
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the proportion of women in areas where they are underrepresented. Women are therefore expressly encouraged to apply. CONTACT For further information, please contact Dr. Zhaolu Diao (zhaolu.diao@mr.mpg.de
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Demonstrated creativity, independence, and scientific excellence Experience working with large-scale data, modeling, or AI/ML methods is an advantage If you fulfill all the requirements, you may be eligible
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basis) and directly by the specialist department in which you could work in the future. More information about our application process Please send your application only via our online application tool and
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technical expertise, coordinate collaborative workflows, and contribute to data analysis and project development. The position is to be filled by 01.03.2026 or 01.04.2026. Your tasks You will work with lung
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the research profiles on our website to identify the groups and the area in which you want to conduct research. Further information and eligibility criteria can be found at www.dkfz.de
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future. More information about our application process Please send your application only via our online application tool and with the following documents: Cover letter CV References from recent employers
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to) For AI in Biomedicine: Representation learning for complex biomedical data Large language models for patient records and multi-omics Generative AI for therapeutic and molecular design Fair, robust and