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Southern Illinois University - School of Medicine | Springfield, Illinois | United States | 5 days ago
implement individualized service plans for patients, and reevaluates level of care at regular intervals. D. Utilizes evidence-based models and interventions when providing counseling services. E. Provides
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Work Model Hybrid Background Check Requirements All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification
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Type Staff Work Model On-site Background Check Requirements All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT
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-3180. Department: COSMOS - Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our
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Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our understanding of cyber campaigns run on social media grounded in
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of Artificial intelligence for De-Novo molecular design Machine learning/Neuronal networks to develop novel drug discovery tools Molecular modeling and simulation Theoretical biophysical medicinal chemistry Deep
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- Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Graduate Research Assistant will develop machine learning and artificial intelligence (ML/AI)-driven socio
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Qualifications Knowledge in the assigned application as well as the platform on which it runs. The following are preferred technical skills Agile Methodology Code Review Debugging JIRA Microservices Model View
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, and training and benchmarking of language models. The research profile of the group is heavily machine-learning oriented, and the group has access to excellent HPC infrastructure. For more information
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staff to identify and deliver consistent, supportable outcomes. Digital Solutions is evolving from a primarily tools- and training-oriented function into a scalable enablement model focused on embedding