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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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Do you want to contribute to groundbreaking research in the intersection of battery systems and data-driven optimization? This is an exciting opportunity for a postdoctoral position at the Division
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treatment and hot isostatic cracking) to minimize/avoid cracking and optimize microstructure and properties. You will be working with hands-on manufacturing, microstructure characterization using advanced
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implemented globally. The research includes optimization of the electrochemical processes for mercury removal as well as safe and efficient retrieval of the removed mercury and regeneration of electrodes
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for industrial application. You will develop materials and processes enabling this technique to be scaled up and implemented globally. The research includes optimization of the electrochemical processes
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for an expert in mass-spectrometry based proteomics who will work alongside our biochemists and microbiologists on detecting and optimizing casein PTMs . Who we are looking for The following requirements
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engineering. The work involves simulations for quantum error correction and mid-circuit operations, and will require both low-level optimization skills (e.g., SIMD, GPU, FPGA) and an understanding of quantum
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biochemists and microbiologists on detecting and optimizing casein PTMs . Who we are looking for The following requirements are mandatory: A Doctoral degree or equivalent in relevant disciplines
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characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high-fidelity qubits operations
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designing, testing and optimizing such BY-kinase inhibitors. Who we are looking for The following requirements are mandatory: A Doctoral degree or equivalent in disciplines related to computational biology