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approach will be highly appreciated. As the startup expands over the years, you will have the opportunity to grow and evolve alongside us. You have a PhD, or PhD-level ability that enables you to work
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of applied cryptography, deep learning methods that are immune to common side-channel defences, machine learning algorithms that can operate on encrypted data in the cloud, detection and mitigation of large
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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