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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various
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need to take the lead in shaping their direction and to add your own ideas and creativity to each project. You will also assist collaborators with data analysis and structuring results into a paper or
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causal inference with structural economic modelling. Subject area The subject area for this position is economics. Fields of specialization: Labour Economics – AI and the Economy; Econometrics – Structural
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structure, strain, and chemistry in superconducting and semiconducting thin films and heterostructures. Correlate structural and chemical features with superconducting and electronic properties. Develop and
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) molecule fluorescence and other techniques, such as smFRET. Structural biology using electron microscopy, such as cryogenic electron microscopy (cryo-EM) and tomography (cryo-ET). The postdoc will be central
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. Experience with Electronic Health Record data (structured codes (ICD), labs, meds, notes and/or temporal event sequences; irregular sampling). Experience with medical imaging modalities such as mammography
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, dielectric device preparation, and electrical characterization. The work emphasizes understanding structure-processing-property relationships in polymer-based dielectric materials and translating
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Physics; X-ray Spectroscopy; Electronic Structure; Ultrafast Dynamics , Condensed Matter Theory , Hard Condensed Matter Theory , High-temperature superconductivity , Quantum Condensed Matter Theory
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We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded
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and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC experience: BSC-CNS