13 post-doc-in-wireless-communication-and-networks-2016 Postdoctoral positions at Heidelberg University in Germany
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hosts. The project is centered on the integration and analysis of multiomics datasets utilizing advanced machine learning approaches and biological network analysis. The successful candidate will join an
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Laboratory, the medical campus Mannheim, and the Central Institute of Mental Health Mannheim. The life science and engineering campus at Heidelberg University offers a network of core technology platforms
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circulation Your Profile PhD in a relevant field (or close to completion) Solid experience working with Drosophila Prior experience in lipid metabolism research is a plus, but not required Strong communication
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stimulating work environment with scientific collaborations across the Heidelberg life science community, in particular with the Collaborative Research Center SFB1638 on membrane remodeling. The successful
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-resolution MS platforms is a strong plus Willingness to manage and initiate cooperative projects Service-oriented mind-set with excellent organizational and communication skills; ability to manage multiple
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field Practical experience in cell culture, drug testing and molecular biology techniques (e.g. Western blotting, immunofluorescence, histology) Strong communication and organizational skills, proficiency
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range of health, prevention and sports offers Kontakt & Bewerbung For further information please contact Dr. Junyan Lu via e-mail . Interested? Applications will be accepted until 20.10.2025. Institute
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us via e-mail or phone. Interested? Applications will be accepted until 30.09.2025. Klinik für Kardiologie, Angiologie und Pneumologie Prof. Christoph Dieterich Im Neuenheimer Feld 669 69129
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package Good communication skills in English (knowledge of German is not necessary) We offer Target-oriented individual further education and training opportunities Targeted training on the job Ticket for
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quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good communication skills in