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vision for extracting complex patterns, structure, and meaning from images and/or volumes; and (4) new mathematics and algorithms leading to new applications of machine learning and artificial intelligence
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Synthesis Science program in which the postdoc will combine literature data extraction, LLM reasoning, and theoretical materials science to guide synthesis protocols for automated sol-gel and solid-state
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tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or a related numerical field. Programming experience
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Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a closely related field, with a strong research background in AI, reinforcement learning, and multi-agent systems. Demonstrated
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are looking for: PhD degree in Chemistry, Biochemistry, Chemical Biology, Material Science, or related areas. Relevant experience in protein purification, characterization, and bioconjugation. Familiarity with
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-equilibrium phenomena. The computational results are expected to compare with X-ray spectroscopy, and/or pump-probe spectroscopic observations. You will: Perform computational investigation of ultrafast charge
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National Laboratory is hiring a Postdoctoral Scholar - Organic Spin Qubits & EPR Spectroscopy within the Molecular Foundry division. This position will support a two-year research program on correlated
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 28-Feb-26 Location: Berkeley, California Categories: Academic/Faculty Internal Number: 106096 Berkeley Lab's Energy Geosciences division is hiring an Autonomous Material Processing Postdoctoral Fellow to help...
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Mathematics Computational Research Division (AMCR) has an immediate opening in the Quantum Information Science and Technology Group (QuIST) for a Quantum Experimentalist Postdoctoral Fellow under the programs