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September 1, 2026, or as mutually agreed and subject to completion of the University hiring process. Position Duties 80% Research Develop analytical, computational, and reduced-order models for problems in
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spectroscopy (e.g., LIBS), pump-probe experimentation, or filament air lasing. Prior experience with optics modeling. Experience with basic surface morphology characterization technologies (SEM, optical/confocal
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boson decays, searches for supersymmetry and other new phenomena, and measurements of rare standard model processes. We vigorously pursue the use of machine learning techniques for data analysis
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reconstructions of urban and industrial environments. The second axis of work will develop visual change detection – both at on object-level and geometric-level - using Visual Language Models such as CLIP, DINOv3
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programming skills in modern languages such as Python or C++. Experience in statistical analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is
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spectrometric datasets. A major focus will be on the application of AI/machine learning models and other computational methods to discover unknown metabolites that have strong associations to experimental
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• Temperature-programmed hydrogen desorption • Materials characterisation • Hydrogen permeation • Coupled deformation-diffusion modelling For those candidates about to finish
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career as a mentee and a mentor, and to expand your research network when liaising with collaborative research partners. Your key responsibilities will be to: develop advanced modelling, novel material
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Skip to main content Recruit Home Open Recruitments Postdoctoral Researcher in Applied Fisheries or Environmental Economic Modeling, UCSB, Santa Barbara, CA (JPF03092) Postdoctoral Researcher in
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models of biological processes, derive appropriate predictions, and design/conduct experiments to test those predictions. Prepare manuscripts and figures for publication. Present work internally at