Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- France
- Germany
- United Arab Emirates
- Norway
- Netherlands
- Canada
- Finland
- Belgium
- Spain
- China
- Denmark
- Poland
- Switzerland
- Morocco
- Vietnam
- Hong Kong
- Ireland
- Australia
- Japan
- Luxembourg
- Portugal
- Saudi Arabia
- Singapore
- Taiwan
- Austria
- Czech
- Italy
- Brazil
- Greece
- Lithuania
- Andorra
- Cyprus
- Kyrgyzstan
- Romania
- Russia
- Slovenia
- South Africa
- Hungary
- India
- New Zealand
- 33 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Chemistry
- Psychology
- Earth Sciences
- Education
- Environment
- Physics
- Materials Science
- Social Sciences
- Electrical Engineering
- Humanities
- Business
- Law
- Arts and Literature
- Linguistics
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans
-
routine and complex machine learning and computational cancer analyses throughout the training period. Will be expected to develop, adapt, and implement new research computational approaches and tools
-
-effectively predicting the rate of massively multicomponent organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning
-
, as well as quantum simulation, quantum computing, and machine learning. Currently, ECT* hosts 5 permanent researchers, 4 postdoctoral associates, the ECT* Director, 3 Ph.D. students, and 4
-
to the development, adaptation, and application of machine‑learning models tailored to RODI data (in collaboration with project partners). Designing and implementing an innovative image‑based database to manage and
-
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 7 hours ago
deep learning (x/f/d/m) Background With the project Deepcloud, we will leverage the machine-learning revolution to understand clouds and their role in the climate system. We aim to train a deep learning
-
-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment. This project will involve applying and evaluating statistical and machine learning models for data
-
fluid mechanics and turbulent flows, high-performance computing, machine learning methods in computational problems. GSSI is a world-renowned research institute and school of advanced studies
-
assimilation, and at least a practical understanding of machine learning. Both profiles should bring a curiosity for bridging disciplines and a drive to innovate at the intersection of AI and ocean science
-
, JR102187] Position Title: Position Type: Postdoctoral Position Location: Upton, New York 11973, United States of America Subject Areas: Condensed Matter Physics / Quantum Condensed Matter Theory , Quantum