222 web-developer-"https:"-"https:"-"https:"-"EURAXESS" Fellowship positions in Singapore
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development, optimization, and validation of in vitro mammalian cell based assays that are related to metabolic diseases (such us cell culture, RNA/protein extraction qPCR, western blotting and other metabolic
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. The successful candidate will work with an interdisciplinary team of scholars based in Singapore to advance research and develop solutions to tackle online toxicity. The contract is for 1 year and is renewable up
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to develop novel hygroscopic, moisture activated heating materials that can absorb moisture from ambient air and convert it into thermal energy. The goal is to create a biocompatible, safe, and effective
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to develop novel hygroscopic, moisture activated heating materials that can absorb moisture from ambient air and convert it into thermal energy. The goal is to create a biocompatible, safe, and effective
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on carrying out research according to the proposed milestones. Key Responsibilities: The Research Fellow (RF) will work on a project to conduct the research on development of Self-Healing Ductile Cementitious
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optimise its role in maximizing fusion performance Analyse the linear and nonlinear dynamics of key micro-instabilities to identify the fundamental physical mechanisms governing turbulent transport Develop
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will be for a period of 2 years at the first instance, with the possibility of renewal Since April 2015, SSR has been creating change through impactful social service research and capability development
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high-impact publications. 2-year appointment, with potential for extension subject to performance and fund availability. Responsibilities Develop advanced statistical and machine learning modeling
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potential in developing a record of publication in high-impact peer-reviewed journals; Exhibit a high level of competence and flair in written and spoken communication and in academic writing; Possess strong
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characterization of integrated memristor devices and systems. • Develop algorithms and system-level integration strategies to harness the capabilities of AI accelerator for machine learning and deep learning