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' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Master's degree average equal to or higher than 16.; - Previous participation in research projects, proven
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of researchers. The Experienced Researcher must be in possession of a doctoral degree or have successfully defended their doctoral thesis before call deadline (09-September-2026). Maximum 8 years from date
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master's thesis for assessment prior to the application deadline. It is a condition of employment that the master's degree has been awarded. Hands-on experience with numerical simulations (e.g., Python
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or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via cryospheric models. A main focus of this work is snow and glaciers in the mountains around the
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conferences What you bring to the table: - completed scientific university education (Master or similar) and Ph.D./doctoral degree (completed or thesis already submitted) in physics (or in related fields
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to the table: - completed scientific university education (Master or similar) and Ph.D./doctoral degree (completed or thesis already submitted) in physics (or in related fields with appropriate
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. Thompson Professor of Government, is the primary contact and supervisor for the project, but you will work as part of a research team. Professor Ansolabehere is also a faculty affiliate of the Institute
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cryospheric models. A main focus of this work is snow and glaciers in the mountains around the globe. Candidates with relevant prior research experience in these areas will therefore be given preference
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management such as project management, drafting and monitoring data transfer agreements, developing content for website, managing social media, and drafting proposals. Job-Specific Responsibilities Primary
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
Professor Yang, the Postdoctoral Fellow will contribute to cutting-edge research, developing statistical methodology and theory related to the primary aims and themes of the Discovery Project. In particular