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for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks
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key role in gene regulation. By employing omics-based approaches, metabolite tracing, proximity-labelling, and advanced imaging techniques, this project offers a unique opportunity to: Explore how
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and spectroscopy Construction and optimization of single-molecule microscopy setups Development of image- and signal-processing software for single-molecule microscopy and spectroscopy data Analysis
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) theoretical and practical experience in peptide chemistry, nucleic acid chemistry as well as knowledge of bioassays are beneficial Experience and knowledge in fluorescence spectroscopy/imaging is desired
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| Methods Workshops | Transferable Skills Topics addressed in the program’s structured curriculum range from molecular and cellular neuroscience, behavioral assessments, electrophysiology, brain imaging
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facilities (on-site) in genomics, proteomics, imaging, and computational biology. Close supervision and mentorship to support scientific and career development. Financial support for conference participation
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inviting applications for a PhD Student (f/m/x) for the project Theory and Algorithms for Structure Determination from Single Molecule X-Ray Scattering Images Project description Single molecule X-ray