Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 16 days ago
Mercatorum, Rome. Our goal is to use spatial transcriptomics, digital histopathology and clinical data to understand the molecular basis of glomerular kidney diseases.
The position is jointly led by
-
writing, alongside excellent interpersonal and communication skills. Familiarity with Open Science practices (e.g., study pre-registration, open data/materials, reproducible workflows). Applicants who are
-
University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | 2 months ago
Salary Minimum: USD $62,232.00/Yr. Salary Maximum: USD $75,564.00/Yr. GENERAL SUMMARY OF POSITION: Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab ( https
-
(University of Wyoming) and Dr. Heidi Huber Sterns (University of Oregon). Responsibilities* Help design, conduct, and analyze data from focus groups and workshops Write and submit a manuscript to a
-
Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and
-
-Duchene Group is based in the Section for Health Data Science and AI at the University of Copenhagen's Department of Public Health. The group works at the intersection of computer science, mathematics
-
Australian National University | Canberra, Australian Capital Territory | Australia | about 22 hours ago
Networks, Data Science, and Automation The prolonged droughts in Australia, particularly the Millennium Drought, have spurred significant investment and innovation in data collection and operational
-
can be understood as a ‘technosocial system’ that connects the technical aspects of AI and Data Science with its social, cultural and humanistic values in deep, intrinsic ways. These 'human-centered
-
can be understood as a ‘technosocial system’ that connects the technical aspects of AI and Data Science with its social, cultural and humanistic values in deep, intrinsic ways. These 'human-centered
-
Learning; Data Science; Artificial intelligence; Machine learning; Antimicrobial resistance; Superbugs; Genomics Required knowledge Essential criteria: Minimum entry requirements can be found here