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Field
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and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications
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group’s areas of expertise Preferred Qualifications: Strong programming skills in languages such as C++, Python, and preferably Julia Proficiency in hardware design using Verilog and high-level synthesis
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to design, assemble and test the hardware and real-time analysis software and engage with the wider astronomical and space sustainability communities. Key responsibilities: To understand and convey material
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for greenhouses and vertical farming systems. The successful candidate will focus on robot hardware development, automation system design, machine vision, and intelligent control, supported by physics-based
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computing and quantum advantage is a prospective topic across four application domains: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum
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: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods
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systematically linking experimental and literature-based biological insight with advanced numerical methods, the hope is to provide a toolbox of well-grounded models and design primitives that can be used
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Robotics; Support the supervisor in developing and implementing the research agenda; Reproduce results of the state-of-the-art (SOTA) methods; Design and develop experimental facilities to allow implementing
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aerospace and space systems while remaining computationally tractable. A key objective is to transform theoretical advances into practical tools that can support analysis, design and decision-making in a
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results of the state-of-the-art (SOTA) methods; Design and develop experimental facilities to allow implementing experiments on real platforms operating indoors and outdoors, to compare our proposed work