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-generation AI models of gene regulation and disease progression. Our work is redefining Parkinson’s disease biology and enabling translational breakthroughs. The role Develop deep learning models across genome
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the drivers of extinction across space and time’. The post holder will provide guidance to less experienced members of the research group, including research assistants, technicians, and PhD and project
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Job related to staff position within a Research Infrastructure? No Offer Description Call for Postdoctoral Researchers in Artificial Intelligence (AI) – Focus on Large Language Models (LLMs
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space and time’. The post holder will provide guidance to less experienced members of the research group, including research assistants, technicians, and PhD and project students. The post holder will
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and sequence-based mechanisms of gene regulation. Current projects focus on deciphering the regulatory landscape of the human genome by integrating AI-driven enhancer modeling with GWAS data and
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natural event (e.g. wildfires, volcanic eruptions) which can be used as analogues of SRM to provide evidence for informing model improvement without worry about the risks of field experiments. The derived
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intelligence, and multimodal learning. The main objective of this position is to develop novel generative AI methods for computer vision applications, with a particular focus on Diffusion Models and Vision
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 22 days ago
/Administrative Internal Number: 25565 POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and
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workflows and support reproducible research (model evaluation/validation, transparent assumptions). Your profile PhD in economics, environmental science or a closely related quantitative field (e.g., climate
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Educational Background: PhD in Biophysics, Mathematics, Computer Science, or a related field. Strong foundation in dynamical modeling, particularly ODEs, PDEs, and probabilistic models. Technical Skills