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, rivalling temperature in importance. It shapes marine food webs from the bottom up by controlling primary production and the energetic base, and from the top down by affecting the efficiency of visual
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supply systems Experience working with and analysing large climate and hydrological datasets Understanding of systems-based approaches to planning, including use of decision-support systems i.e. modelling
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, Monday - Friday, 8:00 am - 5:00 pm Work Type: Onsite Salary Range: Targeted salary: $72,500 annually, based on experience Benefits Provided: Yes Required Attachments: Resume, Cover Letter Job Description
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learning model evaluation/deployment, clinical data pipeline development, and natural language processing (NLP)-based chart abstraction. The work will be performed using publicly available data, such as
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Research Engineer 2 Requisition ID req34766 Working Title Research Engineer 2 Position Grade 14 Position Summary Due to federal export control regulations, this position is limited to U.S. citizens
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Assistant Director, Treasury Planning (Hybrid) - Financial Services - Treasury Planning & Operations
analysis, modeling, issuance, compliance, credit strategy, and management of the Internal Bank. Treasury maintains a collaborative and productive relationship with the WashU Investment Management Company
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. Responsibilities include conceptualizing and implementing statistical and structural models, developing scalable algorithms for system optimization and control, conducting policy-relevant economic analysis
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. Prepare comprehensive technical documentation, including design and test reports, control models, test results, and source code. Support technology translation activities, including transferring research
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welcome: Real-time or streaming pipelines Control / robotics / feedback systems Optical systems / optical tweezers / laser-based manipulation Probabilistic modelling / tracking Software in the loop (SiL
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, scikit-learn, numpy) Experience with large language model APIs (OpenAI GPT-4, Claude, or similar) Demonstrated ability to design and implement NLP pipelines Understanding of evaluation metrics (precision