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Field
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. Mainstream Song will research a 500-year history of global song in England, and use it to: reframe cultural history around ideas of the mainstream rather than elite/popular; tell a unifying, accessible story
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merit. Experience of and interest in the analysis of medical images, omics data or other types of health data is considered advantageous. Strong programming and software development skills and familiarity
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responsibilities include i) lead developer of the core Python application, ii) major contributor to the project ecosystem design and implementation, iii) coordinator of working groups, and iv) major contributor
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-based decision-support platforms for real-world transportation agencies. The Postdoctoral Associate will join a multidisciplinary team of faculty, researchers, software developers, and agency partners
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(negotiable) Group or Departmental Website: https://urbanresilience.stanford.edu/ (link is external) How to Submit Application Materials: Interested candidates should apply at https://forms.gle
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an excellent work ethic and background in molecular simulation and machine learning. Job responsibilities will include: Develop simulation algorithms and software to model challenging gas adsorption behavior in
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groups, you will gain opportunities for international exchange and build a strong global research network that supports your long-term career development. Your mission We are recruiting a Postdoctoral
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: The development of computational models to represent structural performance using commercial and research software tools The development and validation of machine learning and artificial intelligence models focused
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. • Proficiency with commercial software for periodic DFT (e.g., VASP) and/or molecular calculations (e.g., Gaussian). • Experience in Molecular Dynamics or Global Optimization calculations is a plus. • Significant
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sustainability and resilience. We aim to develop mathematical and probabilistic models, hybrid numerical approaches, computational algorithms, and integrated software platforms for modeling and managing