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linguistics. Other For current graduate students, GPA of 3.7 or higher and at least A- in LING 645 and the equivalent of Probabilistic Graphic Models and/or Probabilistic Programming courses. Hiring Unit
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development and maintenance of the University’s annual operating and consolidated budget, and annual and quarterly forecast and reporting process; prepares and presents reports. Organizational Status Reports
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: Data collection, climate change impact assessment, ML/DL model development, and scenario development for streamflow forecasting. Qualifications: M.Sc. Eng; coding for streamflow forecasting models. Before
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: Literature review, data collection, input variable selection, preliminary model building for machine learning based streamflow forecasting. Qualifications: BEng; Very strong ability in coding and ML/DL
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Fund Project manages any work related to Specific Purpose Project (SPP) Analyses risk and provides mitigation measures on SPP Preparing forecasts, operating, and capital budgets for SPP Monitoring
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: Literature review, data collection, input variable selection, preliminary model building for machine learning based streamflow forecasting. Qualifications: BEng; Very strong ability in coding and ML/DL
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analyses and forecasting; strategic planning and budget analysis; policy compliance and develops and delivers finance and business training seminars for A&S academic administrators and administrative staff
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. This position provides expert analysis, modeling, forecasting, and reporting to inform university leadership and governance bodies. Working collaboratively across the unit as well as colleges and departments
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 16 minutes ago
reports for funders and stakeholders. This individual works closely with all levels of management to develop budget forecasts, improve operational efficiency, and execute OTN’s spending strategy. Key
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, probabilistic viewpoint of ML, etc. Estimated course enrolment: 50 students Estimated TA support: 90 hours of TA support Class schedule: Wednesday 11:00-13:00 *Please note, the delivery method for this course is