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Field
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intersection of machine learning, neuroscience, and computational biology. This role centers on computational neurobiology and the use of modern AI/ML methods to model brain circuits and neural activity. In
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focused on computational analysis and supporting model development as part of a dynamic, fast-moving experimental program that applies molecular biology to the investigation of brain function and
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structural datasets for model training and evaluation Implementing and maintaining research code and computational workflows Training, fine-tuning, and evaluating models using GPU and high-performance
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to ambitious research at the intersection of machine learning, neuroscience, and computational biology. This role centers on computational neurobiology and the use of modern AI/ML methods to model
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, artificial intelligence and computational humanities. The exact research questions will be refined together with the successful candidate. Relevant methodological directions include language model
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dissect how targeted manipulation of the hydrogel affects mechanoregulation in human dental pulp stem cells, and c) to propose a computational model to elucidate and predict the cell response. A key
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with Research Associate 1 to apply the newly developed model directly to the data and use it to measure hidden model parameters. Support Research Associate 1 in the validation of the computational
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Details Title Postdoctoral AI Researcher in AI/ML for Cellular and Protein Computational Biology School Faculty of Arts and Sciences Department/Area Kempner Institute at Harvard University Position
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Postdoc in Resilient and Equitable Mobility Systems Reference number REF 2026-0288 How do mobility systems respond when everyday travel is disrupted? How can we model who loses access, where, for how
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energy technology adoption in housing in Lausanne. An interdisciplinary agent-based model (ABM) has been developed to represent the energy transition at the level of Lausanne, integrating not only