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that generates XX males and XY female individuals (Panten 2024). In parallel, we have developed in mice a highly controlled cancer induction system using chemical carcinogenesis, which complements and deeply
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and brain resident cells interact in this process. You will contribute to these research efforts by analysing spatial transcriptomics data from hundreds of brain tumours to establish the molecular
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 9 days ago
university studies (PhD) in a relevant field, such as molecular biology, computational biology, bioinformatics, genetics, computer science, mathematics, or equivalent scientific background A solid background
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biology, (bio)chemistry, bioinformatics or a related field High affinity to data and large-data-driven science, as well as strong logical understanding Knowledge of statistical analysis and programming
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Your Job: As part of an interdisciplinary project team with researchers from bioinformatics you will work on quantum algorithms for drug discovery. Here, the focus lies on machine learning and
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projects Integrate into the research team and provide support for junior members and students Your profile Solid experience in cell biology and experimental laboratory work Expertise in bioinformatic
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number of research areas including stem cell research, bioinformatics and systems biology, cancer genomics, neurooncology, pediatric oncology, cancer prevention, tumor immunology, virology, radiooncology
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Doctoral and Postdoctoral Researcher Positions in the Cluster of Excellence “Balance of the Microver
support. Your Profile: You have an MSc or PhD degree in microbiology, molecular biology, biochemistry, chemistry, bioinformatics, or a related field. You are curious, highly self-motivated and enthusiastic
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regulation of cellular processes such as translation, protein folding, cytoskeletal dynamics and cell differentiation. Recently, a new class of regulatory switches (C-switches) was discovered that use
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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