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developing new algorithmic approaches for TAPS data, interpreting the results in the context of phenotypic observations, and communicating these findings clearly to the broader team. You will prepare the
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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type (iv) work with the computational biology team to transfer this information into a AI algorithm that can distinguish neurodegenerative and neuroprotective phenotypes (v) work with colleagues in
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endoscopists through a quantitative and qualitative assessment of the mucosal microstructure. You will be responsible for the algorithm development and implementation of the overall system. It is expected
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for coordinating grid-edge flexibility, and contribute to the development of a software platform for algorithm design, training and benchmarking. You should possess the following skills and experience
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thermal load in superconducting quantum circuits. The successful candidate will develop new characterization and benchmarking techniques for quantum algorithms on devices at or beyond the 16-transmon scale