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Art des Jobs | Vollzeit | |
Eingetragen am | 04.11.2024 | |
Einsatzort | München |
Jobbeschreibung | Are you intrigued by synthetic biology and aspire to contribute to the elucidation of memory encoding mechanisms within brain circuits through molecular imaging at the highest attainable resolution? You may be interested in our groundbreaking work on developing a unique set of gene reporters specifically designed for Electron Microscopy (EM). These "GFPs for Electron Microscopy" provide unprecedented insights into the intricate interplay between brain activity and neuronal connections. Specifically, we will use encapsulins [references 1-4] as 'lead structures' for genetically encoded self-assembling nanostructures that can be visualized by high-throughput EM of serial brain sections. In this way, we can directly overlay molecular information about, e.g., synaptic plasticity onto the brain wiring diagram ("connectome") at EM resolution in a loose analogy to how Google Maps displays traffic information on top of the road map. This novel reporter technology will accelerate the systematic analysis of function-ultrastructure relationships in brains with implications for our understanding of neuropsychiatric diseases and inspiration for neuromorphic computing. |
Qualifikationen | Your Ideal Qualifications:
- A recent Ph.D. degree in synthetic biology, biological engineering, biochemistry, biophysics, neurobiology, biomedical engineering, or a related field. - In-depth knowledge of molecular biology, advanced cloning techniques, and mammalian cell culture methods. - Experience working with in vivo model systems. - A keen interest in molecular imaging, including Fluorescence and Electron Microscopy, and neurobiology. - A strong desire to apply new technologies to in vivo applications. - Ability to work independently and as part of an interdisciplinary team of bioengineers, biochemists, neuroscientists, and data scientists. - Excellent English language and organizational skills. |
Firma |
Technische Universität München 80333 München |
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