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. The successful candidate will have knowledge in programming, preferably in Python, experience working in a Unix environment. They will be independent, motivated, and highly organized and will help the investigator
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, in both supervised and unsupervised paradigms. Almost all of our analyses involve frequency-domain (Fourier/wavelet and related transform) analysis. The current codebase is a mixture of Python, R, and
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Introduction to Programming with Python Supervised Machine Learning Expected Qualifications: Minimum of a Master’s degree related to the area of teaching, with a preference for an earned doctorate (PhD or DBA
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The candidate should hold or be pursuing a Bachelor of Science degree. Ability to code in Python Preferred Qualifications Two years of college experience Ability to code in C++. Strong analytical skills. Ability
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Subject areas of particular interest may include: Machine and Deep Learning Data Visualisation Generative AI and LLMs Programming (Python, R, SQL) Databases and IoT Applied Statistical Methods You will also
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, Video production techniques, and with Python Proficient with Blender, & Experience with Unity Work Conditions: 10-12 hours per week. Work hours are flexible. Some work can be completed on a personal
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., Python, R, Bash). Experience working with Linux systems. Experience working with HPC cluster environments, job scheduling systems (e.g., Slurm, PBS, Torque), as well as high-performance data processing
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, strategic planning, or project management-preferably in a higher education or research-intensive environment. Outstanding statistical and data science skills. Proficiency in R and/or Python for data
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software such as Microsoft Office; knowledge of statistical procedures particularly relevant to longitudinal data; experience with Python and/or R; and critically deep experience recruiting in community
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. Competency in high- and low-level programming languages (C/C++, Java, python, R) is essential along with basic management of large software systems and relational database architectures. Creating streamlined