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Overall purpose of the job: This position is to deliver a next generation autonomous online scheduling framework in response to different types of disruptions in the chemical manufacturing industry
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deep learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows
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this role, you will work as part of the world-class team of researchers and software developers within the PSS team to develop all or some of firmware, software and algorithms for pulsar and fast transient
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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, post-docs and interns collaborating across universities to build better algorithms, software tools and benchmarks to assess the safety of AI implementations at the software and hardware level. We
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lab. Key Responsibilities Main Duties: Develop teleoperation interface with a robotic manipulator to facilitate human-robot interaction in remote handling. Design robot impedance control algorithms
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partners. Collaborate closely with development, QA, DevOps and infrastructure teams to have standard release management processes and environment readiness. Maintain a detailed environments schedule and
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hours, mainly July-September (the first three months of the project), and largely self-scheduled (there is some flexibility here; the main data collection will be July-September, when the bulk
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collaboratively across teams and institutions and be flexible in your working hours to support experiments scheduled during night and weekend beam access slots. Experience with proton irradiation research and 3D