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, maintain, and document the data reduction and photometry pipelines required for high-precision time-series photometry. You help coordinate the observatory’s participation in international follow-up programs
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generation algorithm based on different approaches to improve understanding the behavior of forecasting algorithms in time series and tabular data. The workplan will be as follows: Literature review Design of
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data (e.g. instrumental, laboratory, environmental, numerical and categorical data, text, geospatial data or time series); c) Experience in Python programming and in data analysis and machine learning
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 days ago
. CLOSING DATE: 18 October 2026 (Canberra Time) Where to apply Website https://www.timeshighereducation.com/unijobs/listing/415622/lecturer-in-philoso… Requirements Additional Information Work Location(s
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Link https://www.ubjobs.buffalo.edu/postings/64290 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting Detail Information Position
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letters) via UC Irvine's online application system, RECRUIT, located at (https://recruit.ap.uci.edu/apply/JPF102810) Qualifications Basic qualifications (required at time of application) Bachelor's degree
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Books in Architecture series. The architecture section comprises 420 students, 19 full-time and 15 auxiliary faculty. The College of Engineering Faculty Development: The Ohio State University and the
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Posting Details Posting Details Job Title Assistant or Associate Professor of Plant and Soil Sciences, Regular Title Series Requisition Number FE05006 Working Title Assistant or Associate Professor
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Applications are invited for the above temporary full time post within the Reaching Wider Project within the Directorate of Marketing, Recruitment and Communications at Bangor University
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Munich and the Department of Statistics at LMU Munich is expected. This includes, in particular, work in modeling biological time series, statistical inference of dynamic systems from biological datasets