53 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FAU Erlangen Nürnberg •" Postdoctoral positions at Nature Careers in Germany
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Labeling and Imaging“ Dr. Gražvydas Lukinavičius Am Fassberg 11 37077 Göttingen Germany www.mpinat.mpg.de/ Information pursuant to Article 13 DSGVO on the collection and processing of personal data during
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of sintered structures Structured storage of research data in the electronic laboratory notebook Preparation of publications, participation in conferences Supervision of students Your qualifications
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: 11.01.2026 For further information, please contact Prof. Dr. Till Strowig, phone 0531 6181 4700, email: till.strowig@helmholtz-hzi.de . How to apply: When sending us your application documents, please confirm
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. RESPONSIBILITIES: Collaboration on research projects on translational research topics such as pseudoxanthoma elasticum (PXE) and age-related macular degeneration (AMD) Conducting in vivo studies, data analysis, and
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advanced programming skills in a high-level computer language (Python or related) hands-on experience with instrumentation development excellent oral and written English skills collaborative mindset Skills
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are seeking for the next possible date a skilled and motivated Postdoc for the Division of Personalized Immunotherapies Reference number: 2025-0293 The Division of Personalized Immunotherapy (headed by Prof. Dr
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deleted in compliance with data protection regulations. In case of any further queries relating to the field of activity, please contact Dr. Ute Weckmann either via email or phone +49 (0)331-6264-3474
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scientists and, therefore, especially encourages them to apply. Contact details Prof. Dr. Gianni Panagiotou | +49 3641 532-1759 Applications: Leibniz-HKI is proud to be an equal opportunity employer and
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working style, initiative Independent and responsible working approach, self-motivation Strong communication and information skills, including scientific publications in peer-reviewed journals and
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Clinical Cooperation Unit (headed by Prof. Dr. med. Johannes Betge) aims to identify cancer vulnerabilities and uncover mechanisms of treatment resistance by using patient-derived cancer models and high