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imaging in 2D or 3D cell culture models; electrophysiology and 3D neuronal culture. Experience in data analysis and/or statistical methods is helpful. Equipment Utilized Biosafety cabinets, liquid nitrogen
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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
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Molecular Physiology is an open, collaborative, and stimulating research environment with broad expertise including cellular biophysics, specialized imaging, computational modeling, aging, and proteomics
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-based composites using melt electrowriting printing, support for PhD students working with 3D extrusion-based and 3D liquid-in-liquid printing, testing of MOFs for dissolved CO2 capture, investigation
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deliver a prototype of a 3D-printed or casted bioactive stent with proven tissue compatibility and mechanical stability, paving the way for improved cardiovascular implants. The Opus LAP project includes
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of world-renowned researchers and educators have access to a state-of-the art core facilities and expertise, including for high-throughput screening, multimodality in vivo imaging, proteomics, integrative
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spatial resolution and implement quantitative phase imaging to enable 3D imaging and calibration-free mass concentration mapping. The fellowship holder will then have the opportunity to investigate
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
translational statistics. Depending on their profile, the successful candidate will work on one of the following strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer
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downstream signaling. These findings have shifted the paradigm on how biological specificity is achieved to generate unique responses downstream of PDGFR engagement. Available projects will utilize novel PDGFR
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for automated interpretation of crystallography data for optimal ligand placement. Build and curate training datasets linking electron density maps and structural models. Design and evaluate AI models for 3D