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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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model reliability and predictive confidence Publish high-quality scientific results in Tier-1 journals Job Requirements: A PhD degree in Mathematics, Computer Sciences, or related areas, with focus
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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on JavaScript in your browser and try again. UiO/Anders Lien 10th August 2025 Languages English English English PhD Research Fellow in geochemical modeling Apply for this job See advertisement About the position
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-life environments. The Role: As Research Fellow on the COG-MHEAR project, you will have the opportunity to use your strong background in deep neural networks and multimodal hearing-aid signal processing
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
Global Institute for Women’s Leadership (GIWL) at ANU aims to better understand and address the causes of women’s underrepresentation in leadership positions across sectors and countries, and to improve
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advertisement About the position Position as PhD Research Fellow in Machine Learning is available in the Department of Informatics and the Norwegian Centre of Excellence Integreat . Starting date as soon as
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Institute post-doctoral fellowship will advance their sustainability research career. Current doctoral candidates should indicate the anticipated date of completion. A PhD or comparable degree is a
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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self
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communication skills Commitment to mentoring graduate and undergraduate students Desirable (but not required): Experience with time-series QA datasets (e.g., Time-MQA, TSQA, MTBench) Background in signal processing