72 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at Johns Hopkins University
Sort by
Refine Your Search
-
Biological/Biomedical Sciences Computer/Information Sciences Medical - Research Internal Number: A-179992-4 General Description Laboratories in the Department of Biophysics and Biophysical Chemistry at Johns
-
modeling, machine learning methods, and applications involving text and other non-traditional data sources. The fellow will contribute to and extend research in these areas, engaging in projects that develop
-
of clinical samples. Obtain and maintain excellent operating knowledge of assigned clinical protocols, clinical equipment, and clinical computer systems. Oversee budget expenditures for study operations. Ensure
-
. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review data. Assist with data cleaning measures to ensure accuracy of data and preparation
-
to remain in a stationary position for extended periods of time. Ability to operate a computer and other equipment on a frequent basis. Ability to frequently communicate with coworkers. Ability to see within
-
or similar functions/tasks for research study(ies) in support of a PI or a research team. Specific Duties & Responsibilities Run routine and ad hoc reports. Use standard tools and computer programs to review
-
computer skills and proficiency. Demonstrated ability to work both independently and collaboratively with a team. Level of Independent Decision Making Individual must be able to work independently, under
-
DSAI clusters: •Foundational methods of Machine Learning, Data Science, and Artificial Intelligence •Embodied AI Systems •Health and Medicine •Scientific Discovery •Engineered AI systems •People, Policy
-
at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. The SSEC engineers will be
-
preferred but not required. ? The prospective applicant does not have to be an expert in localization. However, good knowledge of wireless communications, digital signal processing, and computer algorithms