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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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Experience with specific software tools in photonic integration, such as Lumerical or COMSOL What you will do Lead and conduct research in collaboration with others Develop and expand your scientific expertise
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Help us reveal how cracks develop in historic masonry quay walls. Model how cracks evolve in
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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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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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-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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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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: 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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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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. • 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