11 distributed-algorithm-"Newcastle-University" Fellowship positions at University of Oslo in Norway
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distributed data processing approaches to address issues of incomplete or redundant multimodal data, dynamic updates, and scalable semantic interoperability in large-scale DPP systems. Particular emphasis will
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English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as PhD Research Fellow in Machine Learning and
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Carbon monOxide Mapping Array Project (COMAP) line intensity mapping (LIM) experiment, aiming to map the large-scale distribution of star-forming carbon monoxide around Cosmic Noon (targeting redshifts
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distribution of star-forming carbon monoxide around Cosmic Noon (targeting redshifts between z~2–3) and the Epoch of Reionization (z~6–8). Currently, the experiment is in the COMAP-Pathfinder phase, which
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algorithms for realistic settings in terms of data and computing resources and collaborates to address major challenges in important applications including marine domain and neuroscience. The candidate is
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Project (COMAP) line intensity mapping (LIM) experiment, aiming to map the large-scale distribution of star-forming carbon monoxide around Cosmic Noon (targeting redshifts between z~2–3) and the Epoch
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using advanced mathematical tools. This insight opens the door for enjoying the real world. The candidate further develops efficient and robust algorithms for realistic settings in terms of data and
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language). Copies of transcripts: All applicants must submit their Master’s degree diploma and transcript(s), preferably together with a class distribution of grades. The transcript must specify the grade
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such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in English Desired qualifications: Experience with research on epidemiological
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with a class distribution of grades. The transcript must specify the grade achieved for the Master’s thesis. Official explanation of the grading and credit system at your university (foreign applicants