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-augmented generation, or AI-assisted decision-support systems to synthesize complex biomedical datasets and support expert-guided patient prioritization. Hands-on experience in performing primary human- and
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technological breakthroughs to explore the biology of complex systems. Principal Responsibilities include 1.) Design and implement reusable bioinformatics analysis pipelines for processing RNA-seq, single-cell
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team dedicated to advancing our understanding of novelty and complex traits. The ideal candidate will be someone who can not only contribute to the project but also bring their own unique ideas and
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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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while also thriving as part of a collaborative, multi-institution team. We are looking for someone with excellent written and verbal communication skills, including the ability to tailor complex findings
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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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while also thriving as part of a collaborative, multi-institution team. We are looking for someone with excellent written and verbal communication skills, including the ability to tailor complex findings
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. You’ll be working alongside a team dedicated to advancing our understanding of novelty and complex traits. The ideal candidate will be someone who can not only contribute to the project but also bring