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phenomena such as velocity and homogeneity in hierarchically porous Si?based materials conduct multiscale imaging using MHz X?ray projection imaging, X?ray micro- and nano-computed tomography, and scanning
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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
, virtual reality, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling humans and animals shape and behavior. In the Eye
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for motivated individuals skilled in computer science/computational biology/bioinformatics with the desire to make a difference for people suffering from mental health problems. A Masters Degree in (Bio
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial Experience in working with medical imaging data, especially with PET, and
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications PhD position - Ad Print4Life DC12 - code no. 2025/MO 4
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 days ago
, and evolutionary biology. We invest in the next generation of scientists who will gain expertise and skills to study complex biological processes that bridge the gap between molecules and living
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imaging method at synchrotron radiation facilities, particularly PETRA III at DESY. Samples, be they biological or from materials science, often have a hierarchical structure that determines their function