Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
collaboration skills, with the ability to work effectively across clinical and administrative teams. Preferred Education: Master's or PhD in Computer Science, Data Science, Biostatistics, Engineering
-
-including the Graduate Entry Pre-specialty in Nursing (GEPN), Master of Science in Nursing (MSN), Doctor of Nursing Practice (DNP), and PhD in Nursing-prepare nurse leaders who are grounded in evidence-based
-
communication and collaboration skills, with the ability to work effectively across clinical and administrative teams. Preferred Education, Experience and Skills: Master’s or PhD in Computer Science, Data Science
-
Postdoctoral Associate Position in the Dr. Hua Xu Lab at Biomedical Informatics and Data Science (BIDS), Yale School of Medicine This is a full-time, ON-SITE position. Location: 101 College St., New
-
Postdoctoral Associate in the Department of Biomedical Informatics and Data Science (BIDS), with Lucila Ohno-Machado, Yale University Job Description We seek full-time Postdoctoral Associates (two
-
Postdoctoral Associate in the Department of Biomedical Informatics & Data Science (BIDS), Yale School of Medicine Job Description We seek full-time Postdoctoral Associates in the areas of highly
-
, contribute to the lab through teamwork and discussion and help to train, supervise, and mentor junior trainees. Minimum qualifications include: • PhD in molecular or cell biology, immunology, cancer biology
-
projects, there are ample opportunities to tailor the needs of the lab to the skillset and interests of the individual. Candidates with MD, PhD, or MD/PhD degrees and experience in a variety of molecular
-
managers, curator, museum assistants, students, and volunteers; work with the Head of Computer Systems to ensure adherence to data standards and the Head of Informatics to broaden use of digital collections
-
Development and Initiatives (TDI) team. Equity in teaching is a primary focus for our team, and this hire would support these efforts in quantitative Social Sciences and STEM fields (e.g., Data Science