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. Operating persistent or ephemeral services supporting workflows, such as databases, workflow engines, cloud-native frameworks, AI inference front ends, and REST APIs. Coordinating dynamic service deployments
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Lawrence Berkeley National Lab’s (LBNL ) Molecular Foundry Division has an opening for a Postdoctoral Fellow – Microbial Genomics and Engineered Living Materials to join the team in collaboration
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software. Collaborate with computational and domain scientists to integrate state-of-the-art AI with simulation and data analysis, including modern agentic approaches. Publish and present results in peer
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field. Demonstrated ability to perform research that addresses fundamental science questions. Demonstrated experience with computational chemistry methods including density functional theory, molecular
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You Will Do: Design & advance digital twins: Integrate electronic structure (e.g., DFT, ab initio MD, tight‑binding) with multiscale simulations to predict experimental observables at interfaces. Bridge
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research into control theory of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from
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UCD Center for Labor and Community - Engaged Research Fellowship Project Coordinator (PROJECT POLICY
copy editing. This includes the ability to write concise, logical, grammatically correct documents and materials for academic and public consumption. Strong interpersonal skills to establish and maintain
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vehicles. You will work with dynamic teams in multi-organizational consortia and carry out research activities focusing on synthesis, characterization and optimization of advanced cathode materials
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, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics
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to thermal cameras, audio recorders, air and other environmental samplers, and environmental sensors. Familiarity with the various contexts and settings related to investigations into wildlife disease dynamics