Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- France
- Germany
- Norway
- Canada
- Spain
- United Arab Emirates
- Denmark
- Poland
- China
- Finland
- Netherlands
- Belgium
- Hong Kong
- Singapore
- Switzerland
- Luxembourg
- Ireland
- Australia
- Austria
- Morocco
- Italy
- Saudi Arabia
- Taiwan
- Czech
- Japan
- Portugal
- Romania
- India
- South Africa
- Andorra
- Brazil
- Cyprus
- Estonia
- Greece
- New Zealand
- Barbados
- Europe
- Lithuania
- Mexico
- Slovenia
- Vietnam
- Worldwide
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Chemistry
- Psychology
- Humanities
- Education
- Earth Sciences
- Materials Science
- Environment
- Law
- Physics
- Social Sciences
- Electrical Engineering
- Linguistics
- Arts and Literature
- Business
- Statistics
- Philosophy
- Sports and Recreation
- 14 more »
- « less
-
with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design
-
artificial intelligence (i.e. machine, deep and reinforcement learning…) to optimize efficiency, improve safety, reduce costs and promote sustainability. Collaborate with multidisciplinary teams to uncover a
-
an integrated framework to explore advanced workloads including simulations with in-situ visualization and, possibly, machine learning integration. This work will inform future ALCF platform procurement decisions
-
/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software
-
or industry equivalent work at a computing facility, or using/managing HPC resources Experience working with large scale machine learning models Experience with performance optimization, debugging, and
-
development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information
-
engineered constructs. Learn more about the innovative work led by Dr. Chris Chen here: https://bdc.bu.edu/bdc-team/. What you’ll do: Independently conduct research on liver cell proliferation, expansion, and
-
understanding of how acoustic waves are generated and transmitted in wells. The LeDAS project aims to overcome these challenges by combining physical modelling, advanced signal processing, and machine learning in
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 21 days ago
opportunity for a Postdoctoral Fellow to work with a world class University that undertakes cutting edge research and has a strong tradition in research-led teaching excellence. We offer: Flexible working
-
machine-learning tools. Data analyzed include precursors such as volatile organic compounds, aerosol number and mass concentrations, chemistry, biological particles, cloud and ice condensation nuclei, light