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Details Title Postdoctoral Fellow in Energy System Optimization and Digitization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description
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Details Title Postdoctoral Fellow in Riemannian Optimization School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position Description A postdoctoral position is
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Research Associate. The Merkenschlager lab investigates how cells of the immune system cooperate to generate optimal immune responses. This individual will be supervised by Dr. Merkenschlager, but will
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. Rather than being tied to a single lab, the RSE will provide shared, cross-project engineering support—helping multiple teams accelerate discovery by building and optimizing machine learning infrastructure
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for understanding how AI-enabled control, optimization, and market design can support large-scale decarbonization, grid modernization, and the integration of distributed and flexible energy resources. Research topics
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procedures, and electrophysiology. The candidate is expected to operate independently within defined protocols and contribute to troubleshooting and optimization of experimental systems. Basic Qualifications
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website for more information: https://d3.harvard.edu/ . Job Description We are seeking an experienced Agentic AI Product Manager to lead the development, oversight, and optimization of agentic AI
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implementation and optimization of high-throughput functional platforms, including: o Single-unit extracellular recordings (e.g., high-density MEA systems, neural probes) o Calcium and voltage-sensitive dye
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contribute to troubleshooting and optimization of experimental systems. Basic Qualifications: Bachelor's or Master's degree in Bioengineering, Biomedical Engineering, Neuroscience, Physiology, or Electrical
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. Key Responsibilities: Develop, implement, and optimize medical large language models tailored to the needs of medical education and clinical decision support. Collaborate with interdisciplinary teams