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at least 5 years of working experience, including project management and team leadership. c) Exhibit excellent communication skills and be capable of managing a network of stakeholders. d) Be
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based in Singapore and will provide opportunities to deeply understand the challenges of building an advanced quantum communication network. The successful candidates will be involved in all stages
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systematic perturbation approaches. Systems Biology: Integrate multi-omic datasets to map the molecular networks influenced by mito-MPs. Machine Learning: Apply cutting-edge protein language models and AI
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network with leading universities globally. The on-campus concept provides a structured approach focused on applied research in strategically important topics aligned with Schaeffler’s strategic roadmap
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Science 2018). Our research combines in vivo and in vitro experimental platforms to explore mechanisms of synaptic and neural network activity dysfunction in the human neocortex. Using human iPSC-derived
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RESEARCH FELLOW IN ARI(TRANSITION RISKS IN IMPLEMENTING FOREST CARBON INITIATIVES IN SOUTHEAST ASIA)
capacity among vulnerable communities. Many state and non-state actors have invested or are considering investing in forest carbon in Southeast Asia as part of achieving net zero. Despite this, relatively
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expertise in networked systems and security control. Strong publication track record. Self-Motivated and takes initiative. Independent and can work well with a team. Good written and oral communication skills
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project focused on “Learning high dimensional dynamical systems on dynamical networks”. There is ample room for exploring sub-topics depending on the interest of the candidate. The focus will be on deriving
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Researcher. The successful applicant will work with Prof. Wang within the NUS AIoT Group. We pursue research and develop disruptive technology in satellite network, wireless systems, sensing, and AI. We build
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resilient communication protocols, leveraging their expertise in system security and large language models (LLMs). This position will be initially offered as a 6-months contract and is renewable upon