Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, and resources for conducting research related to an impressive range of diseases and disorders, from cancer, cardiology, and digestive diseases, to genetics, genomics, neurosciences, and women's health
-
variety of fields, including evolutionary biology, molecular and population genetics, genomics, conservation, and behavior. SciLifeLab is a premier Swedish national research infrastructure dedicated
-
University of California, San Francisco | San Francisco, California | United States | about 6 hours ago
prinicpal investigators within the Genetic Center to design and implement analysis pipelines in several broad areas of computational biology including analysis of experimentally generated datasets in basic
-
4 Mar 2026 Job Information Organisation/Company Universidade de Coimbra Department Department of Electrical and Computer Engineering Research Field Engineering » Electrical engineering Engineering
-
, and resources for conducting research related to an impressive range of diseases and disorders, from cancer, cardiology, and digestive diseases, to genetics, genomics, neurosciences, and women's health
-
, and resources for conducting research related to an impressive range of diseases and disorders, from cancer, cardiology, and digestive diseases, to genetics, genomics, neurosciences, and women's health
-
-driven biomarkers Initial focus will be placed on projects designed to refine and validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing
-
of the IMPRS reflects the development of molecular genetics into an information science, based on the plethora of experimental data that are nowadays available and steadily being produced about cellular
-
15 Apr 2026 - 23:00 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
the Unconventional Communications and Computing Laboratory (UC2), led by Dr Michael T. Barros, which develops modelling and algorithmic methods for networked communication and computation under real-world constraints