Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Economics
- Medical Sciences
- Computer Science
- Business
- Engineering
- Science
- Biology
- Materials Science
- Education
- Mathematics
- Arts and Literature
- Psychology
- Social Sciences
- Earth Sciences
- Humanities
- Environment
- Law
- Chemistry
- Linguistics
- Sports and Recreation
- Electrical Engineering
- Design
- Philosophy
- Physics
- Statistics
- 15 more »
- « less
-
are suitable for mobility interventions during their shift. Able to select the appropriate equipment and method of patient transfer and mobility after consideration of the patient's ability to provide assistance
-
instructional design theories, practices, and methods to design and develop ILM learning content and learning assessment activities. The Learning Designer supports development of technical, trades-related
-
detailed benefits information here. Explore the additional perks of working at CSU here . For the total value of CSU benefits in addition to wages, use our compensation calculator . Lastly, click here
-
, PharmD) in Environmental Health, Epidemiology, Biostatistics, or closely related fields Demonstrated ability to manage multiple projects simultaneously Strong scientific writing and oral
-
edge applications. Tasks and responsibilities: Develop new deep learning, computer vision and multimodal learning methods for pre-training and fine-tuning perceptual foundation models. Actively
-
training curricula and update existing curricula to ensure they are current; select appropriate teaching methods rooted in adult education practices to effectively provide instruction and clinical skill
-
psychometric property analyses for all constructed scales. Implement analytic approaches including but not limited to graphical analyses of data, multiple linear regression, logistic regression, methods
-
computational methods. The incumbent will serve as the library's lead technical expert on data assessment and analysis, focusing on how data quality, structure, and bias function within AI models to ensure
-
experimental methods. Develop and apply methods for demultiplexing, normalization/QC, effect-size estimation, biological inference, and predictive modeling. Contribute to biological manuscripts and methods
-
experimental methods in non-human animal subjects to understand how mechanisms of the brain give rise to the mind. These methods could include ethology, neurophysiology, optogenetics, and connectomics. We