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Field
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modeling; and theory-grounded guarantees for proposed algorithms. Collaborate with scientific users and experimentalists at DOE experimental facilities to apply the developed software to real datasets and
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in research software development using R or Python and a track record of contributing to publications and presentations in leading statistics or machine learning journals and conferences are essential
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. -Global (SM)EFT interpretation of LHC (Higgs, top, diboson, etc) and other measurements -Improvement/extension of the SMEFT framework ; development of a consistent uncertainty model ; studies of limits
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funding. Appointment Start Date: Fall 2025 Group or Departmental Website: https://hph.stanford.edu/careers/ (link is external) How to Submit Application Materials: Submit all application materials
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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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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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(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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the Agricultural Sciences major. School faculty also contribute to the Biology, Global Development, and Viticulture & Enology majors. Position Function This position requires an experienced Postdoctoral Associate
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computational methods, proficiency in R or other applicable software packages, ability to develop scripts for R and Echoview, and statistical modeling. Interest in fisheries, fisheries acoustics, aquatic ecology