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* Advanced programming skills in Python and React, with experience architecting systems that integrate and deploy LLMs * Proven expertise in prompt-engineering and fine-tuning LLMs for specific product and
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, with python/R. The annual base salary range for this position is from $82,118 to $185,016, and pay offered will be based on experience and qualifications. This position may be eligible for relocation
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assessment. Knowledge and experience in at least three of the following: working with high-performance and cloud computing, programming in Python, data analysis and visualization, geospatial analysis
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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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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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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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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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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