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Field
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conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
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position at KTH will focus on optimizing security and performance in different control architectures. We will pursue control-oriented system/attacker modeling, multi-layer detection of cyberattacks, and game
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We are looking for a motivated summer intern to join a collaborative project aimed at improving the performance of superconducting qubits by optimizing noise filtering in dilution‑refrigerator
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position as Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep
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situated in the field of machine learning. Potential research topics include, but are not limited to, algorithmic knowledge discovery, graph mining and social network analysis, optimization for machine
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Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and discrete-time systems. In particular, we are looking for a strong candidate
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computational tools, including optimal-control techniques, that directly support ongoing experiments and advance the control of bosonic quantum operations. About us The position is hosted at the Applied Quantum
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Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep mathematical theory
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-mediated direct reprogramming, which limits the therapeutic potential of immune cells. This project builds on an established combinatorial barcoded transcription factor screening platform with single-cell
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University. We expect to have 8 PhD students by the autumn, in addition to three faculty and three postdocs. Our group's research spans various facets of complexity theory, encompassing both combinatorial and