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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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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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Department of Biomedical Informatics and Medical Education has a Postdoctoral Scholar position open with a focus in machine learning. The postdoctoral scholar will work on topics of mutual interest such as
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rural Veteran access to care, and 2) the award-winning Business Analytics Department at Tippie College of Business, which specializes in machine learning, data science, and mathematical optimization
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non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar. Responsibilities
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will combine first-principles atomistic simulations, scientific machine learning, reaction modeling, and integration of computational and experimental data. The associate will develop reproducible
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will combine first-principles atomistic simulations, scientific machine learning, reaction modeling, and integration of computational and experimental data. The associate will develop reproducible
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Luxembourg and have access to high-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral
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Postdoctoral Research Associate with expertise in bioinformatics, computational genomics, and machine learning to develop computational approaches at the intersection of functional genomics, genome
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data-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing. The position is intended for an excellent