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MD degree witha strong background in data science Strong programming skills in Python Proficiency in one or more data science platforms such as TensorFlow, PyTorch, MONAI, and scikit-learn Experience
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like Docker and container orchestration platforms like Kubernetes. Experience with CI/CD pipelines and tools like Jenkins, GitLab CI/CD, or similar solutions. Good scripting skills (Bash, Python
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experiments with z-tree, Python, and o-Tree. Experience in running computerized laboratory economic experiments. Recruiting, training, and supervising undergraduate research assistants Performing research
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experience with HHG sources are a plus but not critical. Knowledge of programing languages such as Python (and with finite element simulations specifically) would be also valuable.
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the way in which investment management decisions are made, the successful candidate will need exposure to software such as Python. In addition, to avail ourselves of the many synergies that exist between
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evaluation strategies for large amounts of data (such as programming languages Python and/or R) are required to fulfill the tasks. The employment level of 40 hours/week includes an average teaching obligation
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assist with rodent experiments as needed. A breakdown of time would include the following: Data science and programming (60%): Build analysis codes in Python, Matlab, or R for data analysis of cellular
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, and report progress weekly to the principal investigator. Proficiency with Unix bash shell scripting, Python, and the Windows Subsystem for Linux is essential, along with strong attention to detail and
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or more programming languages (e.g. C++, Java, Python) A commitment to upholding Te Tiriti o Waitangi and inclusive academic practice Desirable attributes: Experience teaching international or distance
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. Programming and scientific computing experience with Python, MATLAB, or Julia is essential. The ideal candidate will have a demonstrable track record of intellectual curiosity, scientific integrity, excellent