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Field
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The accuracy and precision of opto-electronic 3D motion capture systems created a global shift towards lab-based biomechanical analysis over the last 30 years. With the advent of AI and machine
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for. Moreover, the areas of applicability and validity of those models are not available. The attempt to define the applicability domains in the 3D Euclidian space of dimensionless capillary-viscous and gravity
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microscopy. You will: Track cancer invasion in real-time using state-of-the-art in vivo two-photon microscopy in mice, and live-cell confocal microscopy using ex vivo 3D models. Genetically manipulate cancer
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in optical fibres, hair-thin pieces of glass, for 3D mapping of cancer tissue. Using lasers in the visible range allow the Raman measurements to be integrated with cutting edge fibre-optics and micro
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project, will contribute to the development of a 3D thermal and fluid-flow model spanning from the well scale to the basin scale, enabling the assessment of the region’s geothermal potential at any given
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cell lines (ii) package promising drug candidates into targeted drug delivery systems and study their efficacy (iii) utilise multicellular 3D cell models to investigate the tissue specificity
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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modelling workflow, linking micro-scale 3D finite element simulations and numerical homogenisation of metamaterial unit cells to meso-/macro-scale structural models capable of delivering accurate stress
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
realistic human and animal avatars for use in research, film, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we