10 phd-image-processing Postdoctoral positions at Brookhaven National Laboratory in Usa
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group. BNL policy requires that after obtaining a PhD, eligible
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other software tools Develop, test and implement data pipelines Required Knowledge, Skills, and Abilities: Required PhD in geosciences, computer science, engineering or related field Proven research
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techniques, including atomic imaging of surfaces and bulk, nano-probe diffraction (4D-STEM), high-energy-resolution, and valence-level energy-loss spectroscopy, cryogenic microscopy, Lorentz microscopy and
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or superconducting qubits. This may also involve investigation of the decoherence processes and related question of persistent quantum entanglement. Essential Duties and Responsibilities: The successful candidate will
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in ultracold neutral atoms, trapped ions or superconducting qubits. This may also involve investigation of the decoherence processes and related question of persistent quantum entanglement. Essential
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group. BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or
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their electronic structure Required Knowledge, Skills, and Abilities: Experience with scientific programming Requires a PhD in condensed matter physics, materials science, physical chemistry, computational science
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immediately. Applications will be accepted until the position is filled. Research under the direction of Dr. Chang-Jun Liu. BNL policy requires that after obtaining a PhD, eligible candidates for research
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into the power grid. The successful candidates will support projects on the planning, operation, and control of future power grids accounting for renewables and electrification to achieve clean energy goals using