Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Norway
- Australia
- Germany
- Sweden
- Canada
- France
- Denmark
- Netherlands
- Singapore
- Portugal
- Switzerland
- Belgium
- Spain
- New Zealand
- Austria
- Finland
- China
- Hong Kong
- Ireland
- India
- Luxembourg
- United Arab Emirates
- Italy
- Morocco
- Poland
- Cyprus
- Estonia
- Japan
- Slovenia
- Worldwide
- Andorra
- Bangladesh
- Brazil
- Bulgaria
- Czech
- Greece
- Macau
- Mexico
- Saudi Arabia
- Slovakia
- Vietnam
- 33 more »
- « less
-
Program
-
Field
- Economics
- Computer Science
- Medical Sciences
- Engineering
- Business
- Biology
- Science
- Materials Science
- Education
- Mathematics
- Arts and Literature
- Social Sciences
- Humanities
- Psychology
- Law
- Chemistry
- Linguistics
- Sports and Recreation
- Electrical Engineering
- Environment
- Philosophy
- Earth Sciences
- Design
- Physics
- 14 more »
- « less
-
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The candidate will be involved in the development and implementation of machine
-
with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures, and evaluate their ability to generalise across different process
-
in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Overview: As an Associate Machine Learning Engineer, you will specialize in engineering
-
Do you have a strong technical background in Machine Learning and Numerical Modelling? Are you interested in working with industry to develop Machine Learning methodologies and protocols needed
-
will be provided. In addition, the thesis should investigate how different types of EIS data influence sorting accuracy and model performance. Be part of change Literature review on machine learning
-
and data-driven manufacturing. We are seeking a highly motivated Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton
-
with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures, and evaluate their ability to generalise across different process
-
Profile The ideal candidate should have: • Knowledge of machine learning, especially neural networks, graph neural networks, or federated learning. • Strong mathematical, optimization, and algorithmic
-
for publication. Preferred qualifications: Experience with super-resolution microscopy, coding (Phyton, Matlab), and machine learning is preferred. City of Hope employees pay is based on the following criteria
-
, we need an imaging scheme that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase retrieval