Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- Netherlands
- Spain
- Portugal
- France
- Singapore
- Australia
- Norway
- United Arab Emirates
- Denmark
- Belgium
- Canada
- Austria
- Switzerland
- China
- Finland
- Poland
- Hong Kong
- Luxembourg
- Ireland
- Italy
- Japan
- Morocco
- Vietnam
- Czech
- New Zealand
- Romania
- Greece
- Saudi Arabia
- Brazil
- India
- Taiwan
- Andorra
- Croatia
- Cyprus
- Lithuania
- Malta
- South Africa
- Kyrgyzstan
- Latvia
- Russia
- Slovenia
- Ukraine
- Worldwide
- Chile
- Estonia
- Armenia
- Bulgaria
- Indonesia
- Israel
- Kenya
- Lebanon
- Malaysia
- 46 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Science
- Biology
- Education
- Materials Science
- Mathematics
- Arts and Literature
- Psychology
- Social Sciences
- Humanities
- Law
- Chemistry
- Linguistics
- Sports and Recreation
- Electrical Engineering
- Earth Sciences
- Environment
- Physics
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
, France [map ] Subject Area: Machine Learning / Machine Learning Appl Deadline: 2025/12/12 11:59PM ** (posted 2025/10/21, listed until 2026/04/21) Position Description: Apply *** the listing date
-
through applied research programmes. Faculty in the ICT Cluster undertake funded industry-relevant research, teach courses in Computer Science, Computer Engineering, Information Security and Software
-
teaching faculty to teach an undergraduate course, Machines that Create, an introductory yet comprehensive overview on Generative AI and Foundation Models, covering the methods and techniques driving modern
-
including computer-based research, data collection, and project coordination to advance the lab's projects in surgical innovations, outcomes, and medical technologies. Learn more about the LIN lab at https
-
solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI capabilities into existing systems to improve efficiency, accuracy, and service quality
-
detailed tasks accurately and with quality. The position will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in
-
Computational Mathematics for reliable and trustworthy uncertainty quantification in science, engineering, and machine learning. Your workplace You will be employed at the Division of Applied Mathematics in a
-
Research Infrastructure? No Offer Description The requested figure will be responsible for developing and implementing both machine-learning methods for analysing images and audio files in Python, as
-
virtual reality development, machine learning, or advanced data analyses and modeling are highly desirable. Position Status Full Time Posting Number 25FA0682 Posting Open Date Posting Close Date
-
Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular