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. Proficiency in R and/or Python and working knowledge of the Linux command line and shell scripting. Strong written and verbal communication skills, and the ability to work effectively with a broad range of
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candidates will teach introductory computer science sequences in Python (e.g. DCS 109X, DCS 229 Data Structures, and DCS 211 Computing for Insight), and other upper level computing courses based on their area
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communication skills with ability to work with internal and external stakeholders. High level of proficiency with MS Office Suite (Word, Excel, Access, Outlook), Windows. Knowledge of Linux/ Python would be
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: Strong quantitative and analytical skills. Proficiency in one or more statistical or programming platforms, including R, Python, SAS, or Stata. Experience working with complex datasets and epidemiologic
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programming language (R or Python). Experience working with large environmental or soil datasets. Demonstrated experience with written and oral scientific communication. Preferred Qualifications – Experience
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experiments in macrophages and carry out their quantitative analysis. The work will involve image processing, segmentation and tracking using Maestro and ShuttleTracker, complemented by Python-based analysis
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. (assessed at: application & interview) Desirable criteria Knowledge of computer programming with experience in a scientific program language e.g., Python, Java, C++, C, C#, LabVIEW, MATLAB, Halcon, R, Maple
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Strong research experience in machine learning or deep learning, with practical experience of developing models in Python using a modern framework such as PyTorch. Essential Application/interview Research
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computer science. Experience: Experience in python including torch and scikit-learn libraries strongly preferred. Experience in working with image data or unstructured text data with large language models. Preferred
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techniques in data analysis. Familiarity with statistical analysis packages such as Stata, R, or Python. Advanced knowledge of research techniques and methods in relevant scientific field. Preferred