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and platinum complexes with long carbon chains. Collect spectroscopic data (NMR, IR, UV/Visible, etc). Collect and interpret crystallographic data, and undertake physical measurements. Participate in
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planning and control concepts to organize customization in secondary education. A large groups of schools and other external partners provide the opportunity for interfacing research and implementation
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(Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g., neural activity and behavior). Experience working with quantitative behavioral or electrophysiological data collection
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The Peng Lab at the University of California, Los Angeles, is seeking highly motivated Postdoctoral Scholars with expertise in data science and bioinformatics to drive groundbreaking discoveries in
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with a large and diverse research team. Previous experience with bioorthogonal chemistry and purification and characterisation of modified biopolymers by advanced mass spectrometry is desirable. We
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interactions help facilitate active scientific exchange and foster a good atmosphere, and therefore play a big role in our team. Learn more about us here: https://swa.cs.univie.ac.at/ Your future tasks: You
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analyzing publicly available data on employment, education and higher education residing in large federal data sets (e.g., Census data, NCES data). Conducts research and prepares project-related technical
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robust models – and for clinicians, whose goal is to determine when to trust the models. We therefore seek candidates who have strong technical background in working with large-scale deep learning models
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to integrate geological data and observations with biostratigraphy, geochemistry, engineering, geophysics, and data science subdisciplines to assist in reservoir characterization. The Postdoc is expected
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Zhejiang Province), and Data Science and Big Data Technology. Additionally, there is a dual bachelor's degree program in "Information and Computing Science + Automation." Teaching Resources: The school