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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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-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
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theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive dynamics, and population genetics. This position is part of the interdisciplinary consortium
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approaches and optimization System dynamics modelling Energy system resilience and risk assessment The research will heavily involve mathematical model development and the use of specialised software
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of their pigments, through the optimization of their production and application, to the comprehensive ecological and economic evaluation of the resulting solutions. The successful applicant will be employed by
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applicants are expected to have a strong experience in hydrodynamic simulations and radiation transfer, preferably with interest in applying novel computational techniques, in order to optimize