503 machine-learning-"https:" "https:" "https:" "https:" positions at Stanford University
Sort by
Refine Your Search
-
QUALIFICATIONS: Minimum 2 years of Statistics, Biostatistics, Bioinformatics or related field experience preferred. Experience using machine learning algorithms in Prism, MATLAB, and Python. Skilled in R, SQL, C
-
, enjoys learning, has a can-do attitude, proactive, organized and knows how to successfully lead projects start to finish we would like to hear from you! Apply now to this posting with your cover letter and
-
of Stanford online systems is helpful, and the ability to learn new software and online processing systems. Certifications and Licenses: None PHYSICAL REQUIREMENTS*: Constantly perform desk-based computer tasks
-
communications and marketing initiatives. CDI is a leading center for implementation science that drives the effort to get the best and latest treatments to all patients (https://med.stanford.edu/cdi.html ). CDI
-
*: Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand, lift, carry
-
principles. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Strong analytical skills and excellent judgment. Ability to maintain
-
light/fine grasping. Occasionally sit, reach above shoulders, perform desk-based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40 pounds. Rarely
-
computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40 pounds. Rarely kneel, crawl, climb ladders, grasp forcefully, sort and file paperwork or parts
-
transformative biomedical platforms. As a learning health system, we will apply these advances in our hospitals and health care delivery systems within Stanford Health Care and Stanford Children’s Health. Our
-
, including experience with R or Python Experience with multi-omics data analysis and/or experience with brain aging research Strong understanding of statistical methods and machine learning techniques