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in Singapore alongside DSO National Laboratories, Defence Science and Technology Agency (DSTA), Temasek Laboratories @ NUS and @SUTD and the local defence industry. For more details, please view https
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patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated
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crystallography. More information can be found on their website: https://mcb.berkeley.edu/labs/meyer/index.html What We Provide: One-on-one mentorship with a senior research scientist while working collaboratively
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. The doctoral student will apply quantitative research methods developed within the domain of ‘causal inference’ (e.g., directed acyclic graphs, target trial emulation and g-computation). As part of the role
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projects. • Other duties and responsibilities as appropriate. Research Documentation and Interpretation • Translate research data output into text, bullet points, or tables/graphs/charts using APA style and
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and proficiency with data analysis software, including Excel, creation of charts and graphs, constructing process metrics, etc.). Minimum Education Required Bachelors degree in a relevant field or
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-Doctorate Associate depending on qualifications. ● To view the RP4 posting, please visit https://hr.myu.umn.edu/jobs/ext/372182 ● To view the RP5 position, please visit https://hr.myu.umn.edu/jobs/ext
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admissions and mortality records; Develop physics-guided and graph-based models for high-resolution environmental exposure estimation; Build explainable AI pipelines to identify which exposures matter most
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. Experience Essential: E1 Experience of analysing human body movement from sensor data (eg RGB videos and/or MOCAP data) using Deep Neural Networks (such as Graph Convolutional Networks). E2 Experience
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-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference speed, compute efficiency, and scalability with concurrent agents. Maintain high software engineering