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Field
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Science Specialist will: 1) review empirical data and algorithms applied to the price, end-use, fishing effort and layer 3 databases and develop code that imputes missing data to complete gaps in
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computer vision algorithms to detect clinical interventions performed by nurses and situations of agitation and risk of falling. Volume of data available for the project: Video capture in a hospital
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blind and low-vision individuals in navigating both outdoor and indoor urban spaces. The project's initial phase will employ machine learning models, computer vision algorithms, and real-time sensory
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education required Experience with analysis protocols and meticulous lab analysis methods is required. Experience with computer algorithms, higher level computing associated with Python code in the Linux
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borehole electromagnetic data during drilling. This includes the further development and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develops broad-based solutions involving multifaceted technologies, and business processes. Leads
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model performance across multiple development iterations. This hands-on experience will provide valuable insight into the application of AI and geospatial technologies in environmental research. What
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Details: Senior Data Scientist (P3) Duties: Analyze, manipulate, or process large sets of data using statistical software and SQL. Collect and combine data from multiple sources. Clean and manipulate raw
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have designed and introduced new control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the