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8 Feb 2026 Job Information Organisation/Company University of Oslo Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline
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. Characterise and optimise the algorithm for signal data processing for real-time cell analysis and sorting Develop a user-interface platform for end-user testing of clinical samples. Support lab procurement and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
and PEWER Research Fellow_561790.pdf The position will provide opportunities to Conduct cutting edge research in AI and algorithms. Opportunity to supervise research students and work as part of a
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Biotechnology, Bioengineering, Biochemistry, Pharmaceutical Sciences, Neurosciences, Biomedicine, Biomedical Research or Genetics and be enrolled in a PhD or a non-degree course, relevant for the development
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) Positions PhD Positions Application Deadline 11 Mar 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 39,4 Offer Starting Date 1 Aug 2026 Is the job
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include: Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines. Build reproducible research pipelines and maintain reliable
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. The Research Fellow will be employed and based at NTU, and is expected to travel overseas to collaborate with scientific teams at CEA, France. The holder will: Apply advanced machine learning algorithms
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Fellow to conduct research on air traffic management (ATM) algorithms and data
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(R2) Positions PhD Positions Application Deadline 26 Apr 2026 - 23:59 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Hours Per Week 37 Is the job funded through
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, and uncontrolled approximation errors. In this project, we aim to develop novel diffusion and flow-based models, and associated algorithms, which can more efficiently and effectively solve inverse