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techniques for fast tune-up Implementation and benchmarking of quantum algorithms About you You have a relevant PhD deegree (Physics, Applied Physics, Nanotechnology, Computer Science, Engineering, or
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processes Design and test AI algorithms that interact with human participants to enhance collective innovation Analyze experimental and modeling results to derive insights into human and AI-driven collective
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that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from control theory, machine learning, optimization
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should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. The applicant should furthermore have a strong drive towards performing
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alternative ways of evaluating a particular expression with unspecified matrix sizes. When a concrete expression is evaluated at run-time, thus revealing the matrix sizes, an extraction algorithm can identify
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groundbreaking algorithms and protocols that can enable tomorrow’s wireless applications and services. In this postdoc project, you will contribute to the 6G theory formation and establish yourself
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and communicating research results verbally and in writing. The main tasks are to develop FSI algorithms for high-fidelity simulations, and conduct in-depth analysis to address aero-/hydro-elastic
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of custom algorithms or pipelines for data analysis. Experience with programming languages such as Python, MATLAB, or R. Familiarity with neural data formats and platforms, such as DataJoint or Bonsai
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with six industrial partners and is partly externally funded by the KK Foundation. In co-production with our corporate partners and the community, we develop concepts, principles, methods, algorithms