Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- France
- Germany
- Norway
- Canada
- Denmark
- Spain
- Poland
- United Arab Emirates
- Belgium
- Netherlands
- Finland
- Hong Kong
- China
- Morocco
- Switzerland
- Luxembourg
- Singapore
- Australia
- Austria
- Ireland
- Italy
- Saudi Arabia
- Taiwan
- Japan
- New Zealand
- Romania
- Brazil
- Estonia
- Greece
- India
- Portugal
- Andorra
- Barbados
- Cyprus
- Czech
- Europe
- Lithuania
- Mexico
- Slovenia
- South Africa
- Vietnam
- Worldwide
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Chemistry
- Humanities
- Psychology
- Earth Sciences
- Education
- Materials Science
- Environment
- Physics
- Law
- Social Sciences
- Linguistics
- Electrical Engineering
- Arts and Literature
- Business
- Statistics
- Philosophy
- Sports and Recreation
- 14 more »
- « less
-
machine learning with single-cell genomics, spatial omics, and systems biology, supported by strong collaborations across UBC and internationally. Project Recent advances in single-cell and spatial omics
-
Posting Details Position Information Job Title Postdoctoral Scholar Position Number PDS-Pharm-03-26 Vacancy Open to All Candidates Department EHH BSOM Pharmacology Department Homepage https
-
We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
-
clinical translation. While the group works closely together and with graduate student and postdoctoral trainees, this role is expected to operate with a high degree of independence and take ownership
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
is also leading the development and validation of novel machine learning methods for LEGEND simulations and analysis. We have been heavily involved in constructing, commissioning, and operating
-
infrastructure. While the group works closely together and with graduate student and postdoctoral trainees, this role is expected to operate with a high degree of independence and take ownership of engineering
-
. While the group works closely together and with graduate student and postdoctoral trainees, this role is expected to operate with a high degree of independence and take ownership of analytical projects
-
their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master
-
biology skills Experience with single-cell RNA-seq analysis Experience with machine learning based methods Have evidence of scientific accomplishment via peer-reviewed publications Understanding of cancer
-
technologies generate unprecedented volumes of molecular data at cellular resolution, opening new avenues for the application of machine learning to fundamental biological problems. The postdoctoral researchers