21 Design Fellowship research jobs at Lawrence Berkeley National Laboratory in united-state
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learning, pattern recognition, or modeling scientific problems. Experience working with pathogens or associated immunological studies, including (but not limited to) biodefense and biosecurity applications
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one or more programming languages (i.e., Python, R, Rust or similar). Experience applying machine learning, pattern recognition, or modeling scientific problems. Experience working with pathogens
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systems, with a downstream objective of developing functional, bio-inspired signaling approaches for controlling catalyst reactivity in artificial systems. In this role you will design and build multi-site
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electron microscopy. Excellent oral and written communication skills. Demonstrated ability to design experiments, conduct independent research and contribute to peer-reviewed publications. Ability to work as
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of statistical methods suitable for durability and lifetime predictions. Design and execution of operando measurements aimed at determining degradation rates and mechanisms in PEC water splitting devices
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++, focused on implementation of optimal algorithms on large numbers of qubits. You will be involved in the design and execution of simulations of physical hardware from testbeds and commercial partners
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experimental designs (field and lab) for testing them. Plan, coordinate, and execute fieldwork campaigns, for initial soil sampling and testing strategies. Characterize soils in the field, and sample soils, and
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at the nexus of resilience, health, and greenhouse gas emissions. Next-generation simulation and optimization for design and operation of buildings and energy systems. Breakthrough materials for the energy
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meetings. Interact with the LBNL electrochemistry community (with extensive experience in batteries, modeling of batteries and fuel cells, electrode material synthesis, spectroscopy, and cell design) to aid
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, universities, and to vendor facilities. Collaborate with domain scientists for the purpose of making quantum benchmarking easily accessible to them. Collaborate with facility scientists to plan the potential