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to analyze large-scale clinical datasets, including electronic health records (EHR), medical imaging, and unstructured clinical text. The candidate is required to have a Ph.D. in biomedical informatics
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learning and deep learning methods to analyze multi-omics data (genetic, epigenetic, transcriptomic, imaging, single-cell genomics and spatial omics data) with the goal of understanding the underlying
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. The ideal candidate should have a strong background in one or more of the following: developmental biology, genetics, molecular techniques, bioinformatics/genomics, electrophysiology, calcium imaging
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neurodegenerative diseases. ALS is the primary disease focus. The potential projects within this area include but are not limited to: Cell based assays (primarily imaging) for mitochondrial biology using human
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-radiative modeling of fusion edge plasmas. Strong background in code development Special Instructions to Applicants: This is a time-limited position. The search committee will begin reviewing applications
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Classification Title: Postdoctoral Associate Job Description: The Laboratories of Drs. Ramon Sun and Craig Vander Kooi are seeking a talented postdoctoral fellow to work on molecular imaging
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paradigm of microbial NP discovery, providing unprecedented insights into the unexplored microbial taxa and ecological niches, and revealing the vast diversity of NP biosynthetic gene clusters (BGCs
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codes as needed. Work in an interdisciplinary team of informaticists, programmers, information quality experts, statisticians, and researchers during software development. Participate in design
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; etc. • Data management: Ability to clean, code and store information to increase anonymity and confidentiality • Data analysis: this position will have a primary focus on qualitative data, such as
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC