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chemistry, ideally with experience in performing reactions in parallel, handling automated kinetic instruments, and associated analytical techniques (HPLC, GC). Knowledge of Design-of-Experiment and automated
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, model predictive control, parallel computing using JAX and rapid online learning, is highly desirable, but candidates demonstrating an ability and willingness to become familiar with these topics and able
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measurements possible until the next generation experiments are ready at the end of this decade. In parallel you will carry out R&D for the readout electronics and other aspects of DUNE’s phase II near detector
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Parallel Computing Centre. If you require any further details on the role please contact: Sylvain LAIZET -s.laizet@imperial.ac.uk Please note that job descriptions are not exhaustive, and you may be asked
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culture by cell-to-cell fusion methods. Synergistic work tackling other key barriers in synthetic genomics will be done in parallel by postdocs in Oxford, Cambridge and Manchester that will be close
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learning for policy optimisation, all within a huge GPU-based simulation with thousands of robots learning synchronously in parallel. The best solutions will then be 3D-printed, and policies will be fine
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with thousands of robots learning synchronously in parallel. In particular, you will take a leading role in creating the simulation environment, 3D printing promising robot hand designs, and setting up a