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Experience with at least two of the following: flow cytometry, microscopy, NGS techniques and analysis, CRISPR-based epigenetic or genome editing Interest and ideally hands-on experience in bioinformatics
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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biological, biochemical as well as -omics and bioinformatics techniques Optimize and apply ribosome profiling and single-cell ribosome profiling on organoids and clinical samples Characterize the impact of gut
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via email to applications@mirmi.tum.de quoting “Postdoc Position in Dexterous End-Effectors for 6G Tactile Tele-surgery” in the e-mail subject line. The position will be filled as soon as possible and
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of geneomic and transciptomic analyses Dry lab bioinformatic analyses of genomic and transcriptomic data sets Your profile Enthusiastic about discovery and translational research Working knowledge of English
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | about 1 month ago
in biological sciences, bioinformatics, microbiology, molecular biology, biochemistry, or a closely related discipline. Candidates in the final stages of obtaining their PhD are encouraged to apply
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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
research Your profile # Completed university studies (PhD) in a relevant field, such as molecular biology, computational biology, bioinformatics, genetics, computer science, mathematics, or equivalent
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office, graphic programs, statistical software, bioinformatics tools and online tools (e.g. Illustrator, Lightroom, GraphPadPrism, R, BLAST) Fluent both in written and spoken English language We offer Goal
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, hematopoiesis, and immunobiology At least basic experience in bioinformatic analysis (bulk RNAseq, scRNAseq, proteome) Excellent teamwork and communication skills Solid experience with flow cytometry and
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Description: The RevEl project aims to replace PTFE-based dry binders with fluorine-free nanocomposites that combine mechanical robustness during battery operation with controlled debonding-on-demand at end