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, or a related area. Strong background in statistical theory for high-dimensional data. Computational skills in R and/or Python (ability to develop user-friendly codes). Strong written and oral
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Previous Job Job Title Post-Doctoral Associate - SME Next Job Apply for Job Job ID 372823 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546
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computational condensed matter physics. We seek a motivated researcher with expertise in density functional theory (DFT) to study emergent phenomena in quantum materials. Research Areas - Correlated electronic
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Theory. Analyze large-scale educational datasets using statistical software such as R Support development of cognitive diagnostic assessments and item banks for introductory physics and calculus courses
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technical papers for publishing. 3. Investigates the feasibility of applying a wide variety of scientific principles and theories. 4. Maintains substantial knowledge of state-of-the-art principles and
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, principles and theories. Develops tools and code to conduct advanced analyses of ocean and atmosphere datasets. Adheres to University and unit-level policies and procedures and safeguards University assets
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of large-scale systems. The ideal candidate will have a strong foundation in operations research, control theory or power systems and a passion for applying these skills to real-world energy problems
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astrophysics that can directly take raw, high-dimensional data from experiments or observatories and rapidly infer theory parameters, such as Higgs boson properties at the Large Hadron Collider or neutron star
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heterostructures. This position offers opportunities for collaborative theory development, advanced numerical modeling, and participation in a vibrant, multi-institutional research environment. Regular joint
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”, “Firstname_Lastname_cover_letter”. Include links to code examples in your CV (e.g., GitHub page, past project repositories). Position Requirements A recent PhD (completed within 5 years, or soon to be completed) in computer science