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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
the institute focusses on the structure and dynamics of elementary processes in solids and at surfaces. Within this broader research theme, the Nonlinear Chemical Imaging (NCI) group of Dr. Alexander Fellows
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optical, mechanical and structural properties of nanostructures and nanoparticles, and their applications. We combine expertise in nanofabrication, photochemistry, laser science, nonlinear optics, sensing
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engineering. We aim to unravel the logic of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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of genome organisation and metabolic control—with the bold vision of building synthetic life. In this role, you will develop and apply computational methods to analyse single-cell modalities, focusing on gene
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century across three research themes: AI in Fashion Design AI in Textile & Apparel Quality Control AI in Ergonomic Design The RCA will lead three projects across these themes, working with researchers from
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Experience working with neuroimaging Experience deploying deep learning models into clinical settings Experience working within a development team & associated tools (git, svn or equivalent version control
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, an entrepreneurial spirit and a proactive approach to projects are valued, fostering a culture of initiative and accountability within the team and assume control over a key aspect of the planned research, helping
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metabolite versus direct effects, and developmental changes versus maintenance. The findings will open potential avenues to manipulate and rescue chemosensation through control of the microbial environment
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clinical challenges within hospital settings. A deep understanding and hands-on experience in user-centred design, electronic circuitry, programming, and system controls within medical contexts are highly