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are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. We are now looking for a Postdoctoral researcher in quantum algorithms and optimization. Are you as
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for high-performance engines. Gas-path control and argon closed-loop system design for optimal engine operation and efficiency. The position includes a multi-disciplinary project collaborating with leading
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. To create efficient adjoint-based optimization methods for tunable metasurfaces that provide rapid sensitivity/gradient evaluation, support high-dimensional design spaces, and allow systematic optimization
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optimization? Would you like to develop innovative technology with superb colleagues who are top experts in their field? Do you want to build an excellent science career and work at the interface of academy and
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operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics
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scalable process foundation for SiPFAB. Your Key Responsibilities You will take ownership of: Establishing, developing, and optimizing chemical processes for semiconductor applications. Actively contributing
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-edge research in LLM. Responsibilities Develop high-efficiency, small-to-medium LLMs optimized for the edge through advanced compression, quantization, and distillation. These techniques empower resource
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coatings. Key responsibilities include: Developing and optimizing advanced surfaces using state-of-the-art thin film technologies Characterizing prepared thin films using scanning electron microscopy and
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large datasets (Pandas, NumPy, Arrow, Parquet) Interest in performance optimization and memory efficiency Understanding of asynchronous / concurrent programming We require capability to communicate in
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—especially GaN devices—using pre-metallized AlN carriers. The aim is to understand, optimize, and scale bonding processes for both small and large GaN chips. Planned Thesis Work will include both literature