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                Employer- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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                Field
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                p.a. plus 17% super (retirement savings system/pension scheme) Unravel molecular mysteries in bat wing development / Collaborate with renowned experts / Shape the future of evolutionary biology. Apply 
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                extend their research portfolio. Candidates must hold a PhD, or be near to submission of a PhD, in a relevant field of Microbiology or Evolutionary Genetics, ideally involving Fungal Biology. They must 
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                the Francis Crick Institute. This initiative brings together world-class experts in evolutionary genomics, stem cell biology, and computational science to unravel one of the most fascinating puzzles in 
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                arrangements. Are you interested in cellular and genetic responses to climate change? Do you have an established background in molecular aspects of evolutionary ecology or development? Do you want to further 
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                . This role will contribute the development of novel machine learning algorithms for wireless sensing and communication and the proof of concepts for next-generation wireless communication, collaborating with 
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                resiliency, and energy management algorithm development using MATLAB/Simulink for marine microgrid applications. Knowledge on control is highly preferred. Have experience and commitment to supervising student 
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                work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through 
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                implementing innovative signal processing algorithms for radar sensing and communication, establishing clear research objectives, and engaging in the collaborative projects. In addition, the position involves 
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                benefit society by advancing technologies that will underpin the design of the next generation of transport aircraft. Specifically, you will develop, test, and industrialise algorithms designed to simulate 
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                benefit society by advancing technologies that will underpin the design of the next generation of transport aircraft. Specifically, you will develop, test, and industrialise algorithms designed to simulate