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software such as SAS, SPSS, AMOS, MPlus, R and structural equation modeling. Experience with Google-based data collection systems (e.g., Google Forms), Excel, and Qualtrics. Preferred Qualifications
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cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and assisting with the communication of scientific
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sustainability of mobility systems in suburban areas by designing and developing optimization-based strategies for on-demand services, optimally integrated with innovative charging technologies. We will develop
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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models of structural disorder based on the periodic average structure, crystal chemistry, and complementary information Generation of a dataset to train ML models Simulation of the corresponding
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Instructions to Applicants: This is a time-limited position. Time limited positions are based on circumstances, such as funding sources, which control the length of time for which the position is available
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inference Develop distributed model training and inference architectures leveraging GPU-based compute resources Implement server-less and containerized solutions using Docker, Kubernetes, and cloud-native
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, and identities. Preferred Qualifications Prior experience in hands-on laboratory work including: designing and performing experiments with proper controls; developing hypotheses based on current
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related subject, as well as excellent command of spoken and written English. Selection and ranking of applicants will be based on their ability to benefit from postgraduate education. Applicants will be
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nationally. Create communication templates, presentations, press releases and other materials as models for state comprehensive cancer control programs to adapt. Manage and update the Technical Assistance