Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Netherlands
- Germany
- France
- Norway
- Denmark
- United Kingdom
- Spain
- Austria
- Poland
- Belgium
- Portugal
- Switzerland
- China
- Luxembourg
- Canada
- Finland
- Ireland
- Morocco
- Saudi Arabia
- Singapore
- Czech
- Lithuania
- United Arab Emirates
- Australia
- Brazil
- Hong Kong
- Italy
- Japan
- Slovenia
- Andorra
- Bulgaria
- Cyprus
- Estonia
- Greece
- Romania
- South Africa
- Taiwan
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Science
- Biology
- Engineering
- Economics
- Materials Science
- Mathematics
- Chemistry
- Earth Sciences
- Environment
- Linguistics
- Psychology
- Humanities
- Electrical Engineering
- Arts and Literature
- Physics
- Business
- Education
- Law
- Social Sciences
- Sports and Recreation
- 12 more »
- « less
-
02215, United States of America [map ] Subject Areas: Computer Science / Artificial Intelligence , Data Science , Machine Learning , Software Engineering Data Science / Artificial Intelligence , Data
-
, particularly radionuclides, on a continental scale. The aim is to develop a new class of inverse Bayesian models, STE-EU-SCALE, combining innovative forward dispersion models, machine learning techniques, and
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
the development and implementation of machine learning models Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services click here Quick Link https
-
. The project takes an explicit social science approach and aims to use Machine Learning and Social Network Analysis methodology to 1. analyze the current and developing opinions of new clean energy technology
-
Experience in machine learning Knowledge of SDN and NFV Knowledge of basic TCP/IP protocols What you will do Conduct high-impact research and publish in leading journals and conferences Shape research
-
infrastructure, with the state-of-the-art reinforcement learning and generative AI, to detect, prevent, and preemptively mitigate intelligent attacker vectors. Supportive Mentoring: The postdoc will be guided by
-
subsea digital twin of deep-water mooring lines for floating offshore wind turbines. The digital twin will be integrated with machine learning algorithms for detection of primary entanglement due
-
, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology. Achieving
-
(e.g. R or Python), statistics, machine learning, and data science. A good publication record with respect to your career stage and research interests in climate impacts in mountain regions complete your
-
comparable qualification) in a relevant discipline (computer science, mathematics, AI) Expertise in one or multiple of the following areas: Deep Learning, Computer Vision, Signal Processing (Synthetic Aperture