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have a Ph.D. in economics, public policy, education, or a related field by the start date, strong quantitative and econometric skills, experience coding (in Stata, Python, R, and/or SAS), and an interest
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components. To develop this program in oxide electronics, a successful applicant will have a solid background in programming (Matlab, Python, or equivalent). Experience with any of the following lock
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reasoning and robotics C/C++ programming and knowledge Python programming
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completion of CSC 379 or other relevant course (Algorithm and Complexity Analysis) Desired Qualifications* Experience with Colab, Python and LLMs. Modes of Work Hybrid The work requirements allow both onsite
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and Knowledge: Strong interest in (or be already skilled in) the development, application, and testing of hydrologic models. Comfortable with working in the python programming language. Knowledge and
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open-source software packages and set up computational pipelines. As a bio-informatics research lab, we publish software packages in Python and R for specific, cutting-edge analysis of large-scale
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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python
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sorting, calcium imaging, long-term tracking). • Experience with behavioral tracking and multimodal dataset integration. • Proficiency in Python, MATLAB, scientific computing, and pipeline development
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aquatic biogeochemistry and watershed-scale monitoring Fieldwork proficiency including sensor deployment Analytical and modelling skills with R or Python Excellent scientific communication Proactive
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static and dynamic analysis methods. Proficiency in programming languages such as Python, C/C++, and Java. Familiarity with software debugging, vulnerability analysis, and program comprehension techniques