Sort by
Refine Your Search
-
references; and o A one-page statement about your aims for postdoctoral training through the Yale CPC T32 training program. Questions: For questions about the application process, please contact Xiaomei Ma
-
clinical work and some publication in the area. Analytic and presentation skills are necessary. Desirable applicants will have at least one year of clinical experience with psychotic disorders in a clinical
-
of applicants will begin immediately and will continue until the position is filled. For further information about the position, please contact Prof. Sous. More information about our research can be found
-
approaches to organize and analyze biomedical and healthcare data to promote health for all. More information about BIDS can be found here at: https://medicine.yale.edu/biomedical-informatics-data-science
-
pages maximum), including contact information for 3 references. 3 reference letters. Most current CV (maximum 3 pages) including date of award for PhD. Short (500 - 1,000 words) proposal about the area
-
-reviewed, published article, and ashort (ca. 2,000 words long) proposal about a GELSI research project you would like to develop at the DEC, indicating the problem to be addressed, the working hypothesis
-
Normandin and Felicitas Bijari, Department of Radiology & Biomedical Imaging. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging and kinetic
-
independent research. The successful candidate will work in a team of fellow trainees in the lab. Learn more about the Tang lab at https://www.steventanglab.com. The Tang lab is committed to training
-
immediately and continue until the position is filled. Please have contact information available for three references upon request. ABOUT THE YALE CENTER FOR EMOTIONAL INTELLIGENCE Emotions drive learning
-
resources and datasets. - Opportunities to contribute to impactful research in immunotherapy and therapeutic receptor design. If you are passionate about advancing computational immunology and excited by