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quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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profile Completed university studies (Master/Diploma) in the field of Physics (Computational-, Plasma Physics, Optics) or related field Mastery and use of the scientific method Experience in numerical
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in a quantum microscope. Your tasks Planning and execution of optically-detected magnetic resonance experiments with diamond Analysis and modelling of the experimental data Carrying out literature
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: Algebraic geometry and number theory Area 3: Stochastics and mathematical finance Area 4: Discrete mathematics and optimization Area 5: Discrete geometry Area 6: Numerical mathematics Area 7: Applied analysis
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perform a risk analysis of the resulting model outputs Present your scientific results at conferences, workshops, and seminars, and publish the work in peer‑reviewed journals Collaborate with project
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mechanical analysis techniques Conducting literature reviews and evaluating the current state of research Independent development and validation of experimental concepts Preparation and dissemination
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) transmission electron microscopy (TEM/STEM), nanoindentation, and complementary microstructural and mechanical analysis methods Comparative evaluation of innovative materials with reference materials Literature
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workflows for descriptor based microstructure reconstruction to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property
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cytometry methods Experience with cell culture techniques is highly desired Previous experience with genomics approaches and data analysis is a plus. Interest in working in a project with wet and dry lab