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). Additional Qualifications A strong research record demonstrated by publications in leading peer-reviewed journals and conferences (e.g., NeurIPS, ICML, ICLR, Neuron, Nature Methods, or related venues) is
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dynamics, using an array of methods including natural language processing and experiments. This is a two-year position (one-year contract renewable based on performance). The primary criterion for acceptance
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dynamics, using an array of methods including natural language processing and experiments. This is a two-year position (one-year contract renewable based on performance). The primary criterion for acceptance
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Director of LISH (Dr. Ramona Pop). The position involves conducting rigorous empirical research using field experiments, large-scale data analysis, and computational methods to advance our understanding
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Postdoctoral Fellow with Professor Morgane Austern. Professor Austern’s group focuses on research in high-dimensional statistics, probability theory, machine learning theory, graph data, Stein method, ergodic
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these methods to address challenges in scientific discovery and precision medicine. We seek highly-motivated applicants with background in one or more of the following areas: agentic AI, geometric deep learning
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, we highlight performance history. The field of performance studies offers well-developed critical tools with which to analyze key elements of commemorations, including physical space and place
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postdoctoral fellow to explore new methods for embodied intelligence in soft and reconfigurable robots. Basic Qualifications Doctoral Degree in Electrical Engineering, Mechanical Engineering, Bioengineering
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: Computational methods development and consortium data management for the Human Virome Program, with the mandate to characterize viral (phage and eukaryotic) communities across the human body in health and disease
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DNA elements and transcriptional and chromatin remodeling machinery in gene regulation. More information about the lab and specific research areas can be found at https://adelman.hms.harvard.edu