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conditions. Bioinformatics skills relevant to genomics-driven natural products discovery, including genome mining, biosynthetic gene cluster analysis, sequence alignment, and annotation. Strong quantitative
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Post-Doctoral Position in Biomedical Data Mining - (180000MG) The Biomedical Data Mining Lab, Department of Radiology, at University of Maryland School of Medicine, Baltimore is seeking a candidate
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study characterizing translation functions across human 5′ UTRs (Lewis et al., Molecular Cell, 2025. PMID: 39706187). Responsibilities will include computational mining of viral metagenomic databases
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water quality, development of synthetic stormwater recipes through in-depth literature review and data mining, monitoring and modeling of stormwater treatment systems, investigation of maintenance and
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, LCMS-based isolation methods, and molecular structure elucidation using spectroscopic techniques. This project provides opportunities to learn additional techniques such as genome mining, biosynthetic
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recycling. The successful candidate will contribute to externally funded research focused on the hydrometallurgical processing of mine tailing and recycled battery materials. The position will focus on both
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technologies, including generative AI, large language models, and intelligent tutoring systems; conducting learning analytics, educational data mining, and implementation research; supporting teacher
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the laboratory manager and Principal Investigator 5. Mining large sequencing data sets Department Specific Qualifications Education: PhD in Molecular Biology, Immunology, Physiology or related field Experience
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with data analysis and technical documentation; and contributing to publications, reports, and sponsor deliverables. The successful candidate will work closely with staff researchers and technical teams
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position