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modeling approaches will be considered a strong advantage. Required Qualifications PhD in Chemical Engineering, Materials Science, Mechanical Engineering, Chemistry, Electrochemical Engineering, or a closely
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, Chemical Engineering, Mining Engineering, Materials Science and Engineering, Environmental Engineering, or a closely related field. Candidates must have completed all PhD requirements by the appointment
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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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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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environment. The candidate will have the opportunity to conduct experiments at a multiuser facility, perform data analysis, and conduct molecular dynamic simulation of magnetized dusty plasma. Responsibilities
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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is an Equal Opportunity Employer. South Dakota Mines and the Board of Regents ensure that all employment practices are free of discrimination. Contact Information
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decisions. Adheres to University and unit-level policies and procedures and safeguards University assets. Develop various machine learning and data mining models including deep convolutional neural networks
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spectrometry-based metabolomics datasets, with discovery of unknown metabolites being a major focus. The laboratory is engaged in several metabolite discovery campaigns involving mining of large-scale
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cheminformatics or polymer informatics, molecular representations, descriptor engineering, RDKit, characterization-informed modeling, multimodal data fusion, interpretable machine learning, NLP, text mining