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the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
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discoveries. Who You Are: Ph.D. with a proven track record of excellence in Computer Science and Machine Learning, with substantial domain experience in biology and genomics. Must have advanced at least one key
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area of expertise. You may be a great fit if: You are a passionate researcher with a PhD in Computer Science or a related field, experienced in machine learning for spatial data management, with a track
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health data, such as electronic health records or biobank-scale resources (e.g., UK Biobank, All-of-Us, FinnGen). Familiarity with machine learning approaches, such as penalised regression, deep learning
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: Strong understanding of statistics, probability, optimization, and linear algebra. - Machine Learning: Deep learning, probabilistic modeling, generative models, etc. - Programming & Software Development
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Posting Information Posting Number FAE1908 Advertised Title Postdoctoral Fellow in Machine Learning and Computational Biology Campus Location Main Campus (Memphis, TN) Position Number 023825
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UiO/Anders Lien 23rd May 2025 Languages English English English Postdoctoral Research Fellow in Statistics with focus on Causal Machine Learning Apply for this job See advertisement About the
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the Sterne-Weiler Lab i n Computational Biology / Discovery Oncology and co-mentored by the Frey Lab in Prescient Design (Machine Learning for Drug Discovery). The postdoctoral position is focused
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Postdoctoral Research Fellow in Statistics with focus on Causal Machine Learning Apply for this job See advertisement About the position Integreat – the Norwegian Centre for Knowledge-driven Machine Learning
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candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD in the related fields shown below. The candidate is expected to have hands-on experience in