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focused on translational control in cancer • Drive the development and advance our single-cell ribosome profiling strategies in mouse models of cancer • Contribute to the development and optimization of new
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Area of research: Scientific / postdoctoral posts Job description: Postdoc (f/m/x) in Biological Physics / Computational Biology 102913 Full time 39 hrs/week Munich At Helmholtz Munich, we develop
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to human patients, the project will leverage established collaborations with clinicians. The candidate will have the opportunity to obtain additional external funding and develop an independent research
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medicine. The lab invented the RNA origami method that allows rational design of RNA scaffolds and devices for expression in cells [1] and have recently developed RNA origami robots that can sense, compute
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Antimicrobial resistance (AMR) is a major threat to global public health, causing millions of deaths each year. We are seeking a postdoctoral researcher to develop machine learning and generative
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. Familiarity with programming languages such as MATLAB and Python, and the ability to work with large imaging datasets Excellent communication and presentation skills, with the ability to prepare high-quality
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electron microscopy (cryo-EM) to analyze native chromatin-associated complexes isolated from human cells or assembled in Xenopus (frog) egg extracts. By continuing to develop innovative approaches
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acquire their fate and establish precise connectivity with target brain regions during development, and how these processes are altered by stress and pathology. To address these questions, the team combines
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elements and regulatory factors control gene expression in both physiological and disease contexts. Current projects leverage ReLiC, a high-throughput CRISPR screening platform that we recently developed
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, is also leading research in the lab on women’s brain health. The lab projects focus on clinical assessment, research methodology, and psychometrics to develop clinical measurement tools and behavioral