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Join us on our quest to overcome a long-standing research challenge in soft tissue biomechanics through the combination of multi-modal experimental tissue testing data, machine learning and physics
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, attract funding and build your team of PhD students, whom you will supervise to completion. You will also teach and coach our talented undergraduate and graduate students, while developing your own
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The mission of TU Delft's Quantum and Computer Engineering (QCE) department is to invent, design, prototype and demonstrate the potential of disruptive computing engines by harnessing unique
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MSc and PhD students, postdocs, professors, and industry R&D experts. Your responsibilities will extend to interpreting the scientific significance of measurements, advising users on sample preparation
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Join us on our quest to overcome a long-standing research challenge in soft tissue biomechanics through the combination of multi-modal experimental tissue testing data, machine learning and physics
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)advising PhD students. You will develop your teaching portfolio, style, responsibilities and impact independently. In the BSc Mechanical Engineering curriculum, you will take a leading role in classroom
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-on workshops would be a plus. Knowledge of applying Machine Learning or Artificial Intelligence in a research context would be a plus. Competences: The following competences are required for functioning as a
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. Empirical/experimental design and emergent behaviour: (multiple) market places, collectives and networks Simulations: computer experiments, digital twins, hardware in the loop experiments, computational
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Institute’s two thermal and cold neutron imaging stations called FISH, you will be the vital link between the instruments and their users. They include MSc and PhD students, postdocs, professors, as well as R&D
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quantum and non-quantum computing and supervising Master and PhD students. In addition, you’ll play an active role in our faculty’s committees and the scientific community. At the Quantum & Computer