Sort by
Refine Your Search
-
, or energy, or similar industrial sectors. For both candidates, expertise in electricity grids, demand response programs, and rate structures is also highly valued. The WE3Lab is a collaborative team of
-
embryos This Human Frontier Science Program (HFSP) (link is external) funded project is in collaboration with the labs of Hervé Turlier (CIRB-CNRS) and Chema Martin (Queen Mary University of London). We
-
mindset and ability to adopt new data analysis modalities Excellent written and verbal communication skills in English. Required Application Materials: CV Research Statement describing (a) Your research
-
are looking for a postdoctoral researcher to contribute to cutting-edge research at the intersection of language models, data, and reasoning. The postdoc will be part of Stanford Language, Data, and Reasoning
-
, food security, sustainable agriculture, agroecology, and global health. Excellent oral and written English-language communication skills. Highly motivated self-starter with the ability to work
-
, heritage studies, environmental science, or combination/experience thereof Prior field experience Beneficial but not required skills: Experience in archaeological survey French language Digital Humanities
-
Affairs. The FY25 minimum is $76,383. Our postdoctoral research fellowship program is dedicated to preparing scholars for an academic career in the domains of pediatric perioperative, pain, sleep, and/or
-
surgical resident interested in medical education. The enrollment period for this program would be July 1, 2025 through June 30th, 2027. This is a two-year, funded position intended for a current surgical
-
archaeological survey French language Digital Humanities skills Previous field work in the Indian Ocean region Required Application Materials: Applying to the post-doctoral fellowship Only complete applications
-
Biology, Bioinformatics, Computer Science, or a related field • Strong programming skills in R and/or Python • Experience with analysis of single-cell sequencing data • Familiarity with spatial