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Applications should contain: Cover letter, to be addressed to Prof. Michael Heneka CV, including periods of absence from work such as family-related leave and career breaks Statement of future research, teaching and other activities (max. 5 pages) Short description of the three most important...
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research group in the field of bioinformatics or related areas Lead impactful interdisciplinary research by reaching out to the experimental, computational and clinical research groups within
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overarching goal of identifying novel therapeutic strategies targeting pro-tumorigenic stroma–epithelial interactions in CRC. The person will focus on applying innovative bioinformatics approaches to human
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will focus on applying innovative bioinformatics approaches to human-relevant models and unique patient-derived tissue cohorts from colorectal cancer. The aim is to dissect the tumor "ecosystem" with a
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ecosystems, and translational applications in clinical and biotech fields. DCs will benefit from expertise across molecular biology, bioinformatics, clinical research, and environmental science, supported by
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level or Engineering Degree in health data science, bioinformatics or biostatistics Expertise in machine learning / deep learning algorithms (supervised and unsupervised methods) Knowledge in diabetes
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Prof. Thomas Sauter at Your profile A master's degree in Systems Biology, Computational Biology, Bioinformatics, or related discipline Experience in omics data analysis, in particular in epigenomic and
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developments. Dedicated support from highly skilled specialists in bioinformatics and statistics, helping you strengthen your research with cutting-edge analytical approaches. Access to state-of-the-art
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corresponding to the requirements defined by the EU Directive 2010/63/EU and the Réglement Grand-Ducal of the 11th January 2013 (FELASA or equivalent) will be a plus. • Experience on bioinformatic analyses
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Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational medicine and bioinformatics through innovative data