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year (initial contract), extendable to 2–3 years based on performance Duties and Responsibilities The appointee will support the project leader in the following areas: Big Data Analytics & Computational
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an emphasis on technology, data science and the humanities. We are seeking a highly motivated individual with a strong interest in cancer genetics and genomic medicine to join our research team under Associate
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the area of Cloud Media Computing, Content Delivery Networks, Data Center architecture, and Big Data analytics. Mission of the Cloud Application and Platform Group is to conduct innovative and fundamental
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big data technologies (e.g., Hadoop, Spark). Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data governance and compliance standards. Familiarity with CPU/GPU
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develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols); • Analyze large-scale learning analytics data
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manage and analyze large data sets, automate repetitive tasks, and enhance collaboration among researchers. They develop custom tools and platforms that streamline workflows, improve accuracy, and
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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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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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-modal large model technologies. Develop, test, and optimize AI software systems for various medical tasks, ensuring their applicability and accuracy in real-world medical environments. Utilize data
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digital transformation priorities. Oversee enterprise-wide infrastructure services including data centres, networks, cloud platforms, and endpoint systems, ensuring high availability, performance, and