Sort by
Refine Your Search
-
Country
-
Employer
- Stanford University
- THE UNIVERSITY OF HONG KONG
- Sveučilište u Zagrebu, Filozofski fakultet
- University of Wroclaw
- Charles University, Faculty of Pharmacy in Hradec Králové
- Faculty of Law University of Rijeka
- Faculty of Medicine, Aalborg University
- Medical University of Lublin
- National Energy Technology Laboratory (NETL)
- School of Life Sciences Zhengzhou University
- State Key Laboratory of Ultrasound in Medicine and Engineering, Chongqing Medical University.
- University of Hradec Kralove
- University of Warsaw, Faculty of Biology
- 3 more »
- « less
-
Field
-
cancer research, molecular biology, glycoprotein science, protein mass spectrometry and animal models would be valuable but is not essential. Required Application Materials: CV Names and contact
-
the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. This postdoctoral position, newly funded by the Gates Foundation, centers on the molecular and cellular biology of the human placenta, with
-
appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Precision mapping of vector borne diseases using deep learning & high resolution remote sensing data Faculty in Stanford
-
technology. A recent example of our work can be found at Nature Medicine(link is external) , (PMID: 41530382) and further information on our lab can be seen at https://sinhalab.stanford.edu/(link is external
-
Expertise in machine learning, including building and deploying prediction models Strong data science coding skills in programs and languages such as Python, R, Stata, and SQL Experience with research in
-
. The lab values rigorous science, creativity, collaboration, and welcomes scientists from all backgrounds. Selected publications are listed below. More information can be found at: https://med.stanford.edu
-
demonstrated ability to design, train, and deploy large-scale models Expertise in at least one of computer vision, speech recognition, or multimodal learning, with experience in real-world technology deployment
-
experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex
-
, and data science. We are especially focused on understanding the interplay between genetics, lifestyle, environment, and clinical factors on cardiovascular disease risk. Our work incorporates biobanks
-
surgical and cancer care, with formal mentorship and structured training to support future leadership in academic health data science. Primary responsibilities Design, implement, and validate predictive