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Field
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focused on the optimal utilisation of advanced RF sensors that are capable of performing multiple roles, either sequentially or in parallel. The UCL Radar Group hosts one of the few demonstrator systems
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well as with Prof. Franziska Lechner-Meichsner (University of Wuppertal), who is conducting a parallel, comparable study in Germany. Where to apply Website https://www.academictransfer.com/en/jobs/359993/postdoc
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are scientifically rigorous, computationally efficient and experimentally validated in parallel, to maintain a high degree of usefulness and accuracy. The first challenge is to develop a novel physics-based model
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depositing and fabricating thermo-electric devices onto non-planar metallic substrates. In a parallel track, the team will develop techniques for the design and manufacture of the structures with predictable
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scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation Experience applying machine learning or AI to molecular simulation
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strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high
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parallel screening platform to discover orthogonal protein binders. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing
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keeping. Strong organisational skills, with the ability to plan and prioritise tasks across parallel activities (e.g., sample processing, biobanking, and experimental support) and meet deadlines as
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close collaboration with members of the CPP group, as well as with Prof. Franziska Lechner-Meichsner (University of Wuppertal), who is conducting a parallel, comparable study in Germany. Your qualities We
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. The project will involve development of novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations. In this role, you can expect to work on enhancing