62 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Yale University
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professional deliverables ● Experience with causal inference, machine learning, and artificial intelligence is desirable ● Experience with clinical, EHR, or biobank data analyses is desirable
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are invited for a Postdoctoral Associate specialised in Computational Biology to join the research group of Dr Sarah Aitken (MBChB PhD) in the Center of Molecular and Cellular Oncology, Yale Cancer Center
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methylation sequencing, single cell DNA methylation, and single cell transcriptome • Perform machine learning/deep learning analyses; and delivering analytical results. • Develop workflows for multiple
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Program in Agrarian Studies, Yale University Postdoctoral Associates for 2025-2026 The Agrarian Studies Program will appoint three postdoctoral associates for the 2025-2026 academic year, chosen
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topics include, but are not limited to (i) developing statistical and machine learning methods for study designs and decision-making in early detection of pancreatic cancer (ii) establishing strategies
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performance computing, cloud computing, machine learning methods, and or statistical genetics. The ideal candidate will also demonstrate: Drive and initiative, and track record of impactful research outcomes
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strong background in machine learning and a keen interest in neurobiology. Previous experience in topics such as gene-regulatory networks, xQTL analysis (splicing, expression, chromatin accessibility
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POSTDOCTORAL POSITION, RAREDON LABORATORY, 2025-2027 T32 Training Fellowship Yale School of Medicine Department of Anesthesiology Vascular Biology & Therapeutics Program in Translational Biomedicine
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in candidates with interest in algorithms, blockchains and cryptocurrency, causal inference, game theory, learning, machine learning, market design, and networks, but all subjects at the intersection
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. Studies incorporate approaches in both primary human immune cells and in vivo mouse intestinal model systems. Education and experience: Candidates must have a PhD or equivalent degree with a strong