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graduation) in bioinformatics, biochemistry, biotechnology, or related field Experience in mass spectrometry-based data analysis Solid background in statistics and omics data processing Proficiency in R
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at the institute operate across multiple scales of biological resolution in the areas of Structural Biology, Molecular and Cell Biology, Developmental Biology, Genomics, and Evolutionary Biology. We seek an early
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is decoded through transcription, and how the defects in this process can be used as a basis for therapy. Currently, we are probing how the crosstalk between transcriptional kinases and other factors
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, including excellent skills in programming and high-performance computing Research experience in a relevant field, e.g. functional genomics, transcriptomics, bioinformatics, bioimage analysis, and/or single
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relevant programming languages (Python, Perl, R). A good understanding of molecular biology, genomics experiments and bioinformatics is expected. Candidates with proven track record in terms of publications
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intersection of computational biology, biotechnology, and precision medicine. You will contribute to the development of innovative bioinformatics tools and perform in-depth analysis of cutting-edge datasets
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use a variety of molecular and cell biological methods together with bioinformatic approaches to evaluate the zoonotic potential of newly discovered henipa-like viruses in shrews. As a PhD student, you
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RESEARCHER / DOCTORAL RESEARCHER We are looking for a postdoctoral researcher to work on our projects that involve multiple sclerosis and myasthenia gravis. Also, applications for a PhD student position are
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processes contributing to cancer. The candidate We seek a motivated candidate with a strong interest in computational cancer research, who is enthusiastic about applying deep learning methods to cancer data
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regulatory processes contributing to cancer. The candidate We seek a highly motivated candidate with a track record of statistical models, network science, and/or computational tool development dedicated