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will be expected to participate in co-supervision of project students, oversee smooth and safe operation of the lab. Applicants should hold a PhD in synthetic organic chemistry or physical organic
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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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for maximum performance per watt. You will investigate how configurable and customizable processing technologies can be leveraged to create fundamentally more energy-efficient Computational Fluid Dynamics
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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