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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
. Focus will largely be in developing and deploying such AI/ML algorithms, closely collaborating with theorists and experimentalists to realize physics- models and/or physics-aware ML-models that can bridge
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(MS or PhD) in Computer Science, Data Science, Geospatial Science, Electrical or Mechanical Engineering, Physics, or a closely related discipline. Minimum 12 years of experience with a doctoral degree
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS/BA degree in engineering, physics, mathematics, chemistry, international studies, or related field and
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for the chelation and separation of metal ions relevant to isotope production and energy. This position resides in the Chemical Separations Group in the Chemical Sciences Division, Physical Sciences Directorate (PSD
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systems (proteins, enzymes, membranes, and complexes) Integrate AI/ML approaches with physics-based simulations to accelerate discovery and improve predictive fidelity Contribute to cross-scale modeling
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and software tools for visualizing and analyzing materials characterization data Develop novel, data-driven materials characterization workflows Advance understanding of process-structure-property
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software systems to manage and process large datasets related to building energy modeling and data visualization Strong software development skills for automation of many knowledge-based tasks in a version
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. Construction automation or industrialized construction. Advanced manufacturing systems. Human-machine interaction in manufacturing environments. Robotic process development and system integration. Record of peer
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. Process subcontractor construction submittals and Requests for Information (RFI’s) to ensure timely responses and response durations are upheld. Inspect and coordinate engineering inspections