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-impact research at the intersection of autonomous AI systems, neural computation, omics and neurobehavior analysis. The position focuses on developing AI agents inspired by and applied to complex
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on topics in the science and theory of generative modeling, including (but not limited to): (1) diffusion language models, (2) reward tilting, (3) complexity of score estimation, and (4) sampling with advice
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complex variables, and to shift priorities rapidly. Demonstrated success in working on complex, novel research problems in a collegial environment. Creativity, curiosity, and the desire, persistence and
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-reviewed publications. The candidate should possess excellent written and oral communication skills, with the ability to clearly convey complex scientific concepts. A strong interest in neurobiology, gene
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complex datasets (e.g., imaging, molecular, functional readouts) and clearly communicate findings. Present experimental results and project updates at internal meetings and contribute to data-driven
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complex datasets (e.g., imaging, molecular, functional readouts) and clearly communicate findings. Present experimental results and project updates at internal meetings and contribute to data-driven
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synthesize complex, bioactive small molecules, as well as how these molecules function in nature and in the context of human health. We are looking to hire postdoctoral fellows that share this interest in
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complex behaviors in rats using techniques drawn from circuit-driven neuroscience, and computational ethology. The opening is for a postdoctoral fellow with expertise in systems neuroscience, including some
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Jessamyn Jackson Science & Engineering Complex 150 Western Avenue #2.401 Allston, MA 02134 Contact Email jessjackson@fas.harvard.edu Salary Range $67,600-$80,000 Pay offered to the selected candidate is
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control mechanisms in development and disease. The lab pioneered global study of RNA polymerase pausing during early transcription and has particular interest in investigating the complex interplay between