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Field
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brings together six research groups in Tübingen with complementary expertise in microfluidics, organoid generation, onco-immunology, and bioinformatics. If you’re excited about developing the next
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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analyses, quantitative genetic analyses, and bioinformatics methods development. Essential Function Yes Percentage of Time 35 Job Duty Dissemination of research via preparing publications in scientific
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to phylogenomic analyses, genetic tests for introgression, population genomic analyses, quantitative genetic analyses, and bioinformatics methods development. Essential Function Yes Percentage of Time 35 Job Duty
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completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
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. in Bioinformatics, Computational Biology, Data Science, Artificial Intelligence, or a related field. Proven experience in multi-omics data integration, omics data analysis (genomics, transcriptomics
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
present at international conferences. Mentor graduate students and contribute to building capacity in AI and health data science at UM6P. Required Qualifications: Ph.D. in Bioinformatics, Computational
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bioinformatic workflows. Familiarity with biomedical ontologies and text mining on Electronic Health Records and biomedical literature Knowledge of machine learning / deep learning with an interest in
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and ex vivo cellular imaging, bioinformatics, production of genetically engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional
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programs that control stem cell development, and how these processes go awry in cancer progression. Our lab is equipped with cutting-edge metabolomics, genomics, molecular biology, and bioinformatics