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Mathematics, Physics, Chemistry or related field. Two (2) years of applicable programming experience to include Linux and/or other system administration experience (graduate level student work experience may be
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. The successful candidate will lead an innovative research program in cutting-edge AI computer system technologies. The position requires knowledge of both hardware and software aspects of large-scale AI
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for scientific discovery, addressing critical societal challenges in biotechnology, clean energy, and emerging technologies. Responsibilities include: Leading a well-funded research program in AI-driven scientific
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for individuals with a passion for AI research, strong programming skills, and a desire to work at the intersection of engineering and scientific discovery. The role will also provide teaching and training
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for the research team. Contribute to software solutions by adhering to project-specific best practices, including version control, continuous integration and delivery, software design, and programming models. Ensure
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information from ‘deep tissue phenotyping’ datasets. The successful applicant will have significant experience working with machine learning algorithms. They will have strong Python programming skills and
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programming skills (Matlab/Python, C(++)) and experience with deep learning frameworks such as PyTorch, TensorFlow, Keras has been in your focus. Further, experience with standard supervised machine learning
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XR facilities including VR/AR headsets, GPU workstations, robotics, 3D immersive wall and 3D motion tracking. The successful candidate will advance digital pedagogy, and design and deliver impactful
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well as MyChart data. The position requires strong programming skills and familiarity with large language models (LLMs). The position will support projects focused on clinical natural language processing
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transformative AI projects. MINIMUM QUALFICIATIONS Expert knowledge of at least one major cloud platform (AWS, GCP, or Azure) Strong programming skills in Python and infrastructure-as-code tools Proficient with