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formalizes the synergy between physics, information theory, and machine learning, particularly focusing on computing with Oscillatory Neural Networks (ONNs). Project The project aims to formalize the synergies
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for compositional methods that focus on extra-functional aspects, such as performance, resource budgets, security, or energy, pursuing hybrid, knowledge-driven and machine-learning-based, approaches. As a newly
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position of 0,8 FTE. You will work in a dynamic environment with a diversity of computer systems, from dedicated workstations for numerical simulations to lab computers for data collection. Your duties and
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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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structures like nanosheet transistors that are relevant for semiconductor manufacturing and uses tomographic techniques in combination with inverse design and machine learning tools. The aim is to determine
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at postdoc-level. You have conducted research in the field of experimental quantum computing. And have experience with spin qubits in semiconductor quantum dots. You have well-honed Python programming skills
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-informed machine learning. You have excellent spoken and written English language skills*, and demonstrable collaborative, communicative and organizational competences. Affinity with inverse problems
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. The Discrete Mathematics (DM) cluster of the department of Mathematics and Computer Science is home to seven professors and many PhD students and postdocs working on cryptography. Our expertise ranges from
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growth as scholars. The Discrete Mathematics (DM) cluster of the department of Mathematics and Computer Science is home to seven professors and many PhD students and postdocs working on cryptography. Our
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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