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statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
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microscopy. • Expertise in metabolomics with mass spectrometry is desired. • Strong general computer skills, experience with databases and scientific applications, and ability to quickly learn and master
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. Required Qualifications: PhD or equivalent doctoral degree in chemistry, biochemistry, biophysics, structural biology, chemical engineering, materials science, or a related field by the start of
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have a PhD in health policy; management science and engineering; operations research; economics; or a related field. They should exhibit strong attention to detail, time management skills, fluency in a
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engineering and clinical physiology. Projects may involve signal quality assessment, artifact detection, waveform segmentation, feature extraction, hemodynamic modeling, time-series analysis, machine learning
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for highly motivated postdoctoral candidates with a PhD in bioengineering deep knowledge in computational biology and machine learning. Candidates with a molecular biology or engineering degrees with
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Qualifications: A PhD, MD/PhD, or equivalent research doctoral degree in neuroscience, biomedical data science, computer science, psychology, psychiatry, statistics, engineering, applied mathematics, or a related
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learning to better understand narcolepsy and other sleep disorders, neurodegeneration and autoimmune diseases. We are looking for candidates with experience with: Flow cytometry, single cell sorting, and T
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, 056. The Buckwalter lab has an opening for a postdoctoral fellow, PhD, MD, or MD/PhD. We study chronic outcomes after stroke using mouse models and human studies, with a particular focus on post-stroke
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outcomes for children with IBD. The successful candidate must hold a PhD, PharmD or MD/DO with a focus on pharmacometrics or computational biology/bioinformatics focused on -omics with an interest in