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Position as PhD Research Fellow in Machine Learning and Distributed Data Processing is available at the Department of Informatics, University of Oslo. Starting date preferably no later than 17.11.2025
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required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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Position Details School of Geography, Earth and Environmental Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130
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/Anders Lien 25th September 2025 Languages English English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as
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for a Postdoctoral Fellow, full-time in a 3-year position. Postdoctoral applicants must hold a PhD degree in computer science, telecommunications or electrical engineering at the start date
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Apply Now How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest
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Australian National University | Canberra, Australian Capital Territory | Australia | about 8 hours ago
Classification: Academic Level A Salary package: $87,135 –$109,369 per annum plus 17% superannuation Term: Full time, Fixed term (2-years) The Position A two-year postdoctoral position is available
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- the School of Innovation & Technology (SIT) the School of Design, the School of Fine Art and the Mackintosh School of Architecture. The School of Innovation and Technology combines academic study at
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24 Months, Specific Purpose, Whole-Time Post Position Summary We are seeking an experienced Research Fellow in energy systems and climate-informed modelling to contribute primarily