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1.
Using a Data Science Driven Approach to Analyzing Chemistry Hazard Code Data
by Bomer, Devlon C., M.S.  University of Arkansas at Little Rock. 2019: 36 pages; 27548421.
2.
Development of Computer Aided Drug Design Algorithms and Application to the APOBEC3 Family of Proteins
by Wagner, Jeffrey Robert Rothfeld, Ph.D.  University of California, San Diego. 2018: 143 pages; 10747265.
3.
Maximizing Influence of Simple and Complex Contagion on Real-World Networks
by Moores, Geoffrey, M.S.  University of Maryland, College Park. 2020: 109 pages; 27955400.
4.
Identification and design of small molecules that associate with aggregated Alzheimer's-related beta-amyloid peptides
by Bautista, Mahealani Roberts, Ph.D.  University of California, San Diego. 2009: 220 pages; 3344755.
5.
Expanding Coverage of the Chemical Exposome Using Novel Data Acquisition and Computational Tools
by Bloszies, Clayton S., Ph.D.  University of California, Davis. 2020: 117 pages; 28093393.
6.
7.
Advancing the Prediction of Unexpected Cellular Behavior Due to Enzyme Promiscuity and Enzyme Solubility
by El-Haliem, Sara Amr Mohamed Abd, Ph.D.  Tufts University. 2019: 110 pages; 13878830.
8.
Computer-Aided Drug Design (CADD): Methodological Aspects and Practical Applications in Cancer Research
by Gianti, Eleonora, Ph.D.  University of the Sciences in Philadelphia. 2013: 342 pages; 3586939.
9.
The hetnet awakens: understanding complex diseases through data integration and open science
by Himmelstein, Daniel S., Ph.D.  University of California, San Francisco. 2016: 120 pages; 10133408.
10.
Predictive models of cytotoxicity as mediated by exposure to environmental toxicants and drugs
by Cong, Ming, M.S.  California State University, Long Beach. 2015: 48 pages; 1602562.
13.
Computational Design of Protein-Ligand Interfaces Using RosettaLigand
by Allison, Brittany Ann, Ph.D.  Vanderbilt University. 2016: 155 pages; 13834927.
14.
Simulated Annealing of Molecular Clusters in Python
by Thapar, Armaan, M.E.  University of Connecticut. 2020: 113 pages; 28263454.
15.
Knowledge Systems for Material Sustainability
by Kokai, Akos, Ph.D.  University of California, Berkeley. 2020: 162 pages; 27962089.
19.
Mechanical Inference in Dynamic Ecosystems
by Langendorf, R. E., Ph.D.  University of Colorado at Boulder. 2018: 138 pages; 10792156.
20.
Influence of discharge product formation on lithium-oxygen battery performance
by Lau, Sampson, Ph.D.  Cornell University. 2016: 165 pages; 10183832.
21.
Advanced Information Retrieval and Extraction in Research and Clinical Settings
by Nagy, Mate Levente, Ph.D.  Yale University. 2017: 141 pages; 10633260.
22.
Spectral Library Construction and Matching of MS/MS Spectra at Repository Scales
by Wang, Mingxun, Ph.D.  University of California, San Diego. 2017: 137 pages; 10284805.
23.
Investigating the Diversity of Secondary Metabolites from Filamentous Fungi
by Paguigan, Noemi D., Ph.D.  The University of North Carolina at Greensboro. 2017: 220 pages; 10285688.
24.
Efficient Computational Methods for the Study of Charge Transport in Disordered Organic Semiconductors
by Brown, J. S., Ph.D.  University of Colorado at Boulder. 2019: 153 pages; 27663249.
25.
Data Governance Importance and Effectiveness: Health System Employee Perception
by Stephens, Joshua J., D.H.A.  Central Michigan University. 2018: 175 pages; 10751061.
26.
Actinide Hybrid Materials: Experimental and Computational Metrics for Assembly
by Surbella, Robert Gian, III, Ph.D.  The George Washington University. 2018: 405 pages; 10743264.
29.
Motivating Introductory Computing Students with Pedagogical Datasets
by Bart, Austin Cory, Ph.D.  Virginia Polytechnic Institute and State University. 2017: 143 pages; 10647311.
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