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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 26 minutes ago
: Doctorate in Oceanography, Meteorology, Statistics, or similar field. Required Knowledge, Skills & Abilities: Fluent in one or more programming languages (python, Julia, or possibly R) Able to perform
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that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and/or data science. Fluency in English and Python are required. Experience working with real-world
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familiarity with Python, social network analysis using tools such as R), and be able to connect with social science questions and methods. The ideal candidate will conduct research at the intersection
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– preferably including RSA or decoding analyses). Good programming skills are desirable for this position (e.g. Python or Matlab). This full-time post is available from 1 October 2025 on a fixed-term basis for 3
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focuses on utilizing Python, SQL, Azure Machine Learning, Power BI, and Power Apps to extract, analyze, and visualize healthcare data, with a primary emphasis on advancing cancer research. We invite
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science Python packages including numpy, pandas, and scikit-learn. Proficiency using relevant tools (Python, R, MATLAB, SQL Server, MySQL) Willingness to learn and quickly adjust to new tools and systems
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research capability, and experience working within collaborative research environments are essential. Proficiency in Python and a solid grasp of planetary geological processes, especially those relevant
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. Proficiency in at least two programming languages used in research (e.g., Python, C++, R). Experience managing or contributing to complex technical projects. Excellent communication skills and the ability
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ASCOR methodology . Supporting the maintenance of an internal assessment database using Excel alongside R or Python. Contributing to writing reports and related analysis and visualisations. Candidates
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with coding, ideally in Python or MATLAB Funding support This studentship is open to Home students only. It is jointly supported by the Faculty of Engineering and industrial partners which is expected