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. Build a PMO culture of accountability, transparency, and continuous improvement through retrospectives, lessons learned documentation, and measurable process maturity targets. Evaluate and recommend
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interdisciplinary team. Tasks: Assembly and annotation of phytoplankton genomes and metagenomes Further development of bioinformatic data analysis pipelines Use and further development of deep learning tools
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Houston provide. Successful applicants will have 5 or more years of teaching experience and demonstrate an ability to successfully teach undergraduate and graduate courses in the following areas
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model we deploy and support the ecosystem with training, advisory, and AI infrastructure. CeADAR is seeking a data scientist with solid experience in machine and deep learning research and development
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such as healthy living, transport, green energy, and advanced manufacturing. The role requires strong hands-on technical skills in modern AI, including deep learning, foundation models, LLMs, agents, and
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Initiatives in Forest Research (WIFORCE) program. The successful applicant will work on the development of bioacoustic monitoring methods using automated recording units (ARUs), deep learning methods, and
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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Large Language Model, autonomous driving, deep learning, interaction modelling, prediction, robotics and automation. Candidates having
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materials property predictions. A deep understanding of materials properties and close connections in academia and industry enable the group to explore exciting research avenues. For more information about
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and provide relevant information to inform NIST management and stakeholders - Maintain deep technical knowledge of advances in the application of artificial intelligence and machine learning
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teaching and learning community where young people see aspects of their backgrounds and identities reflected around them, where they feel a deep sense of belonging, and where they discover and use