Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- France
- Norway
- Belgium
- Netherlands
- Denmark
- Singapore
- Spain
- Portugal
- Hong Kong
- Poland
- Australia
- Switzerland
- Austria
- China
- Luxembourg
- Canada
- United Arab Emirates
- Italy
- Ireland
- Czech
- Finland
- Cyprus
- Latvia
- Morocco
- Estonia
- India
- New Zealand
- Andorra
- Bulgaria
- Lithuania
- South Africa
- Brazil
- Romania
- Saudi Arabia
- Slovenia
- Worldwide
- Armenia
- Israel
- Japan
- Barbados
- Croatia
- Europe
- Greece
- Iceland
- Malta
- Slovakia
- Taiwan
- Vietnam
- 42 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Economics
- Science
- Mathematics
- Business
- Chemistry
- Materials Science
- Social Sciences
- Humanities
- Psychology
- Arts and Literature
- Linguistics
- Education
- Electrical Engineering
- Environment
- Earth Sciences
- Physics
- Law
- Design
- Sports and Recreation
- Philosophy
- Statistics
- 15 more »
- « less
-
machine learning and AI acceleration. Perform performance, power, and area (PPA) analysis of processor and accelerator designs. Publish research findings in top-tier conferences and journals and contribute
-
for Machine Learning at the Department of Informatics, University of Oslo, Norway. Starting date no later than October 1st, 2026. The appointment is for a fulltime position and for a period of 2 years. Job
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 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
-
Engineering, or a closely related field. Required qualifications for graduate teaching include a PhD or terminal degree in Computer Engineering, Electrical Engineering, or a closely related field (preferred
-
in Utah to recruit multiple postdoctoral fellows to apply high throughput methods and machine/deep learning to unlock the full potential of the dark proteome. Responsibilities Scientific vision
-
health, epidemiology, statistics, biostatistics, or machine learning/artificial intelligence. You must have a strong academic background from your previous studies and have an average grade from your
-
motivated to acquire new skills. Candidates must be fluent in English and/or French with scientific writing skills. The doctoral contract will take place at the CRISMAT laboratory (https://crismat.cnrs.fr
-
-learning–based segmentation, species classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and
-
Economics, Mathematical and Computational Biology, Theoretical Ecology), Statistics, Machine Learning and Data Science, and Theoretical Computer Science are especially encouraged to apply. The School has
-
students who are prepared for a lifetime of learning and rewarding work. Candidates should hold a PhD or master’s degree in electrical and computer engineering or related fields and should be comfortable