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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | about 2 months ago
, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM datasets in the
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: Associate or Senior Editor, Nature Communications (Machine Learning) Locations: Shanghai, Beijing, Nanjing, Pune or New Delhi (Hybrid) Application deadline: 1st November 2026 - Candidates will be considered
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Development Fund project TARGETWISE. The candidate will be responsible for conducting machine learning omics data analysis within the computational team. The details on responsibilities, obligations and
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BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING" | Naidu Vari Palem, Andhra Pradesh | India | 25 days ago
identify biological determinants of response and develop predictive models. The work will involve analysis of large-scale datasets through multiomics integration, machine learning, statistical genetics
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Postdoctoral Research Fellow- Biostatistics/Machine Learning - Hovestadt Lab Boston, Massachusetts (US) Computing and Mathematical Sciences Division - Research Engineer: Statistics and Machine Learning Abu Dhabi, United Arab Emirates
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, Machine Learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and Computer Graphics are especially encouraged to apply. The School has five divisions: Biological and Life
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | about 2 months ago
Positions in Statistics and Data Science Description The Statistics and Data Science Area at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | about 2 months ago
rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference techniques. Our current research
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research incorporates artificial intelligence, machine learning, or data visualization in ways that help bridge forensic science and digital forensics, although such expertise is preferred rather
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health landscape. Experience developing, curating, designing, or coding innovations, or participating in digital health initiatives. Experience with programming languages, machine learning, or health