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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Astronomy, Astrophysics, or related fields. Required Qualifications, Competencies, and Experience Familiarity with Python coding, astronomical data analysis abilities, and a research background in time-domain
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scientific programming, preferably Python or C/C++ • Strong written and oral communication skills Desired Qualifications: • Familiar with mathematical and coding aspects of neural networks • Contributions
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of data such as from Kepler, K2, and TESS Experience with scientific software development, testing and documentation (python-oriented development environments, github, writing of manuals) Experience with
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reflecting individual accomplishments. You are proficient in Python and/or R; experience with shell scripting (Bash) and AI frameworks. You have a strong command of scientific English, both spoken and written
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. Ability to handle large volumes of data and familiarity with household surveys are required, alongside solid data analysis skills (R, Stata, Python, etc.) and familiarity with academic writing and
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include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory
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omics (preferably related to neurodegeneration) studies is expected. Preferred Qualifications: Skilled in at least one programming language (R, Python or Perl) and experience working in Linux and/or high
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. Knowledge and Professional Experience: DFT-based methods. Scientific programming in Fortran, in MPI/OpenMP-parallelised codes. Knowledge of other languages (in particular python) and of GPU offloading will be
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of cold atoms in a resonant cavity, helping to interpret current experiments of Esslinger and Domokos groups as well as providing theoretical predictions and propositions. Good computer skills (julia/python
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/transport checks; maintain reproducible pipelines (configs, seeds, provenance). Collaboration and reporting: Work with the PI and team, contribute clean, well-tested Python code, document results, and prepare