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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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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 8 days ago
learning algorithms, as well as the adaptation and optimization of existing tools. This research aligns with CBER’s efforts to enhance the development, operations, and management of FDA’s High-performance
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across all aspects of medicinal chemistry, including: Designing, synthesizing, and optimizing molecules targeting GPCRs (cannabinoid receptors; allosteric and orthosteric) and ion channels (42 nAChR
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in peer-reviewed journals Train and mentor undergraduate students and research assistants Develop, optimize, and document experimental protocols Required Qualifications: D. in biomedical sciences with
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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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to bioenergy and biotechnology. You will collect and curate data to optimize genome-specific annotation pipelines, assess the quality of input data, and integrate datasets into the JGI platforms such as MycoCosm
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opportunity to field test and validate their methods using real-world systems. Postdoctoral fellows will work across the following research areas: Predictive machine learning Robust and stochastic optimization
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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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the project directors and collaborators to develop data-driven and economically grounded frameworks for understanding how AI-enabled control, optimization, and market design can support large-scale
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: Data Curation: Collect and organize datasets along with relevant clinical information to support and drive research studies Radiomics Pipeline Development: Design and optimize robust radiomics pipelines