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Title: Postdoctoral Research Associate|Machine Learning/Artificial Intelligence for Additive Manufacturing Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas
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. _____________________________________________________________________________ We invite applications for a highly motivated Postdoctoral Researcher to join an interdisciplinary research team advancing artificial intelligence and machine learning for metal additive
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involve building and applying state-of-the-art machine learning approaches that includes foundation models, variational autoencoders (VAEs), and transformer-based architectures, to integrate single
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involve building and applying state-of-the-art machine learning approaches, including foundation models, variational autoencoders (VAEs), and transformer-based architectures, to integrate single-cell
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with a proven track record in developing open-source machine learning, deep learning, or cheminformatics tools. Baylor College of Medicine typically follows similar to the NIH stipulated stipend
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Postdoctoral Associate will receive structured mentorship in study design, machine learning, clinical and population research methods, responsible AI, scientific communication, grant writing, and career
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intelligence (AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve
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ideal candidate will also contribute to the integration of machine learning and predictive modeling to enhance material design and performance prediction. The appointment is a one-year, full-time
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Challenge grant. The successful candidate will work closely with the Principal Investigators (PIs) to develop and implement innovative research integrating machine learning, computer vision, and
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, including scheduling, supply requisition, safety, and compliance (5%). •Conduct research on artificial intelligence (AI) and machine learning (ML) to analyze large-scale biological, genomic