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Field
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hybrid work arrangement but fully in-person is preferred. Required Job Qualifications A PhD in ecosystem science, earth system science, or a related discipline Experience coding in python, R, Fortran
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printed circuit board prototyping Basic data analysis using MATLAB or Python Experience with microcontrollers Problem solving skills and out of the box thinking A combination of education and relevant
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) 4+ years’ experience in Matlab™/C++/Python 2+ years’ experience with acoustic modeling software (k-Wave, FOCUS, Field II) 2_ years’ formulating and characterizing nanoparticles or contrast agents
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
- Proficiency in programming (e.g., Python, R, or similar). - Experience with large-scale omics data analysis. - Excellent written and verbal communication skills. Preferred Qualifications, Competencies, and
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proteomic/metabolomic data integration * Integration of clinical and multi-omic microbiome data. * Biologically informed data interpretation * Experience with Python, R and command line Ideal candidate: A
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instrumentation and experiments. Proficiency in scientific programming and data analysis (Python preferred; experience with NumPy/SciPy, Jupyter, version control). Experience with C/C++ or MATLAB is a plus
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analysis techniques for biomarkers and statistical analysis using Python. The candidate will be expected to lead research on using biomarkers to reconstruct past climate changes, including presenting
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fibers, optical and optomechanical components are desired. Experience in scientific programming using MATLAB/Python/C/C++ for data analysis and algorithm development will be favorably considered. Good
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and membrane protein complexes • Familiarity with Linux, MATLAB, Python, or other computational tools is a plus This position provides an excellent opportunity to work on high-resolution structural
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, accessibility, or universal design. Experience with AR/VR tools, programming/coding (Python, R, Unity, or JavaScript), or community-engaged research. Experience working in interdisciplinary teams and multi-site