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Field
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Bioinformatic data analysis and visualization Identification and mechanistic characterization of PMD candidate substrates Presentation of data at international conferences and manuscript preparation Leading
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institutional research and assessment. Research reporting techniques; regression analysis, data visualization, treatment of data such as simple correlation methods, trend analysis, frequency
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- Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Postdoctoral Fellow position is a full-time, provisional position with the COSMOS Research Center
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complementation (BiFC) approach that enabled the visualization and purification of individual PDGFR dimers, revealing differences in the timing and extent of dimer activation, signal molecule binding
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as Qualtrics, Dedoose, or data visualization platforms. Experience contributing to or drafting federal or foundation grant proposals. Experience supervising and mentoring undergraduate and graduate
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such as Qualtrics, Dedoose, or data visualization platforms. Experience contributing to or drafting federal or foundation grant proposals. Experience supervising and mentoring undergraduate and
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supervision of Dr. Kiran Gadhave in the Gadhave Laboratory (https://tx.ag/gadhavelab) at Crop Stress Lab (Texas A&M AgriLife Research), Bushland, TX. Responsibilities: Independently lead research projects
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supervision of Dr. Kiran Gadhave in the Gadhave Laboratory (https://tx.ag/gadhavelab) at Crop Stress Lab (Texas A&M AgriLife Research), Bushland, TX. Responsibilities: Independently lead research projects
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University of California, Los Angeles | Los Angeles, California | United States | about 21 hours ago
and analyzing large genomic and immunologic datasets, visualization and communication of complex results to both computational and experimental collaborators, and collaboration with laboratory
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, with extensive experience in libraries and frameworks such as Pandas, NumPy, scikit-learn, Gensim, BERTopic, TensorFlow, PyTorch, and LLMs; Advanced in data visualization using Matplotlib, Seaborn, and