158 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" positions at Emory University
Sort by
Refine Your Search
-
collaborations tools (OneDrive, Zoom, Teams, and/or others). PREFERRED QUALIFICATIONS: Knowledge of various computer software applications, and an ability to draft and edit correspondence. Knowledge of fundraising
-
computer support for ancillary studies conducted at off-site locations. Collaborates on reports and papers. Assists in the preparation of tables and graphs for publication and presentation. May design and
-
or senior secretarial experience, or equivalent combination of experience, education, and training. Previous experience with various personal computer software applications. Positions in this classification
-
with advanced processing techniques such as natural language processing and machine learning NOTE: Tasks related to this position can be performed remotely with only occasional visits to an Emory
-
. Maintains records, files and logs of work performed in laboratory notebooks and computer databases. Compiles data and records results of studies for publications, grants and seminar presentations. Employees
-
, inventory and media preparation. Maintains records, files and logs of work performed in laboratory notebooks and computer databases. Compiles data and records results of studies for publications, grants and
-
of equipment, ordering of supplies, inventory and media preparation. Maintains records, files and logs of work performed in laboratory notebooks and computer databases. Compiles data and records results
-
management or related experience, OR an equivalent combination of education, training, and experience, including the ability to extract information from large sets of data points and computer programming
-
of equipment, ordering of supplies, inventory and media preparation. Maintains records, files and logs of work performed in laboratory notebooks and computer databases. Compiles data and records results
-
a profound impact across multiple areas. Areas of interest include artificial intelligence and machine learning, imaging, data science, and omics-based technologies. Interdisciplinary Collaboration: A