Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Norway
- Sweden
- France
- Denmark
- Netherlands
- Belgium
- Portugal
- Singapore
- Spain
- United Arab Emirates
- Australia
- China
- Hong Kong
- Switzerland
- Canada
- Luxembourg
- Poland
- Italy
- Austria
- Estonia
- Czech
- Finland
- Ireland
- Cyprus
- Lithuania
- Romania
- Latvia
- South Africa
- New Zealand
- Andorra
- India
- Armenia
- Brazil
- Greece
- Israel
- Japan
- Morocco
- Saudi Arabia
- Worldwide
- Bulgaria
- Croatia
- Europe
- Iceland
- Malta
- Slovenia
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Mathematics
- Materials Science
- Chemistry
- Arts and Literature
- Electrical Engineering
- Humanities
- Linguistics
- Business
- Education
- Social Sciences
- Environment
- Earth Sciences
- Design
- Psychology
- Physics
- Sports and Recreation
- Law
- Philosophy
- 14 more »
- « less
-
workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in
-
of seven departments in the Faculty of Information Technology and Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/297610/phd-candidate-in-edge-ai
-
on the problem of making distributed machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will
-
artificial intelligence (i.e. machine, deep and reinforcement learning…) to optimize efficiency, improve safety, reduce costs and promote sustainability. Collaborate with multidisciplinary teams to uncover a
-
your application: A doctoral degree in automatic control, electrical engineering, computational materials science or related. Research experience in battery tests, machine learning, data-driven
-
the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
-
position as Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep
-
team players and passionate on cutting edge computer vision and machine learning technologies, as well as possess deep understanding of machine learning technology and experience on turning machine
-
single‑cell omics, AI machine learning, and translational biology. The role involves collaboration with academic research group(s), with a strong focus on bridging advanced computational methods
-
Reflectometry The aim of the PhD project is to provide machine learning (ML) based neutron reflectometry (NR) analysis as an automatized workflow for the reflectometry instruments at the Institut Laue-Langevin