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Field
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, plan and implement a 3D camera system for acquiring plant seedlings in the visible spectrum Design and programming of computer vision software to extract plant phenotypic data Catalyze the development of
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, you have experience with Python, computer vision, image processing , or machine learning. Experience with PyTorch, image embeddings, vision-language models, OpenCV, or vector similarity search is a plus
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forefront of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches
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biological or medical imaging data. Strong programming skills in Python and experience with modern computer vision, machine learning, deep learning, or statistical image-analysis methods. Experience
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problem solve Understanding of AI/ML including Generative AI Basic proficiency with a programming language (preferably Python) Familiarity with common AI/ML software packages and tools (e.g. PyTorch
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problem solve Understanding of AI/ML including Generative AI Basic proficiency with a programming language (preferably Python) Familiarity with common AI/ML software packages and tools (e.g. PyTorch
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biological or medical imaging data. Strong programming skills in Python and experience with modern computer vision, machine learning, deep learning, or statistical image-analysis methods. Experience
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developing AI/ML solutions using common software packages and tools (e.g. PyTorch, TensorFlow) Basic familiarity with applied machine learning domains (e.g., natural language processing, computer vision
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), Transformers, large language models (LLMs), and Vision Language Models (VLMs) Develop Retrieval Augmented Generation (RAG) models and agentic AI Developing manifold learning (e.g., tSNE and UMAP) and
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hands-on experience developing software for U.S. vendor-based PLC platforms using Structured Text (ST) programming language. This role will play a key part in designing, programming, testing, and