114 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FAU Erlangen Nürnberg •" PhD positions at Nature Careers
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position will be supervised by Prof. Noomane Ben Khalifa (Hereon/Leuphana University Lüneburg) and supported by Dr.‑Ing. Frederic Bock (Hereon). The objective is to combine computer simulations and
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data will be removed according to data protection regulation. For further information regarding the position and research unit please contact Dr. Lavinia Patara (lpatara(at)geomar.de). We will answer all
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, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts
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Münster, the CoBIC Frankfurt am Main, the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig and the Johannes Gutenberg University Mainz. RESPONSIBILITIES: Data collection using
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on healthcare, research, and teaching, we bear a unique responsibility - ideally with you on board! The position is located in the research group of Dr. med. Alexander Busch, PhD and embedded in the DGF-funded
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Job Id: 11899 Fixed-term (3 years) | Part-time (65%) | Salary according to TV-L E13 | Department of Neurology (Chair: Prof. Dr. Dr. S. Meuth) We are UKM. We have a clear social mission and, with
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transcriptome analysis. Analysing the cell biological, protein-chemical and molecular biological data on the Sertoli cells, also in co-culture with other testicular cell types. Collaborating with Prof. Dr. Stefan
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! The position is located in the research group of Prof. Dr. Stefan Schlatt with a main focus on testicular stem cells. The project is embedded in the DFG-funded Collaborative Research Centre 1748 ‘Principles
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project meetings / secondments Collaborate with external industrial and academic partners Disseminate research findings through publications and conference presentations For further information please
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, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The project focuses on the comprehensive characterisation of the zygotene cilium and