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they regulate large protein assemblies involved in mitosis, immune signalling, and protein homeostasis. This role is ideal for someone who enjoys both hands-on scientific work and the organizational side
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Requirements: PhD degree in physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in
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, side-averaging, and GLIM. These tools provide new opportunities to explore the Golgi from previously inaccessible angles. Using them, we have gathered preliminary data suggesting dynamic changes in Golgi
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the SG100K team to shortlist participants for recruitment Run focus groups to get user feedback on procedures and concerns Check data flows, analyze the data to inform future large-scale implementation Write
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to align business strategy, processes, information and technology Develop and maintain enterprise-wide IT Architecture, as a common blueprint for the University in achieving cost efficiency, and alignment
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maintain the: • SEA big data pipeline • LLM evaluation pipeline and leaderboard • SEA-LION model training codebase and inference server farm As a senior candidate, he or she is also expected to lead
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experience with quantitative data. Adept at working with data, including processing raw data to visualise trends and decipher patterns, and able to handle large data sets. Prior experience in various
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Statistical Package for the Social Sciences (SPSS) and/or NVivo qualitative data analysis software. Experience in classroom observations and video data coding. Experience of collating and organising large
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a Research Associate to undertake advanced research at the intersection of resilience and operations research. This position focuses on applying methodologies from decision optimization, big data
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support (pre-, peri-, and post-operative), and conduct a variety of experimental surgeries for researchers as needed • Experimental Procedures: Provide veterinary expertise to support a large variety of