Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- ETH Zurich
- Oak Ridge National Laboratory
- Aalto University
- European Space Agency
- SUNY University at Buffalo
- Technical University of Denmark
- University of Copenhagen
- <span lang="en">TUD Dresden University of Technology</span>
- AALTO UNIVERSITY
- Boise State University
- Deutsches Elektronen-Synchrotron DESY
- Duke University
- Florida Atlantic University
- Helmholtz Association of German Research Centres
- Lawrence Livermore National Laboratory
- Lulea University of Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for Physics, Garching
- McGill University
- National Renewable Energy Laboratory NREL
- Rutgers University
- SciLifeLab
- THE UNIVERSITY OF HONG KONG
- Technische Universität Dresden (TU Dresden)
- The Ohio State University
- The University of Alabama
- The University of Queensland
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SYDNEY
- University of Central Florida
- University of Florida
- University of Miami
- University of Michigan
- University of New Mexico
- University of Oslo
- University of Southampton
- University of Sydney
- University of Texas Rio Grande Valley
- University of Texas at Tyler
- Utrecht University
- Yale University
- 32 more »
- « less
-
Field
-
Postdoctoral Researcher position. The selected candidate will work on research and development for testing, analysis, and integration of AI and machine learning (ML) algorithms in new simulation and training
-
& Retrieval Lab , one of the research labs within the Machine Learning Section at DIKU. The Machine Learning Section is an internationally recognised research environment with a strong track record of
-
machine learning or reinforcement learning applied to control systems is a strong asset Experience with accelerator technology, specifically photocathodes is an asset Excellent communication skills
-
criteria: A PhD (obtained, or nearly completed) in Natural Language Processing or a closely related area. Solid knowledge of machine learning, especially deep learning. Experience in model development
-
, analysis). Experience in high-dimensional computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration
-
dynamics, stability analysis, renewable energy integration, or related areas. Knowledge of data-driven analytics, machine learning, signal processing, or advanced modelling techniques relevant to power
-
interactions with academic and industrial partners. You should have: A MSc degree in Computer Science, Electrical Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic
-
Fabrication: simulation, optimization, and learned surrogate models to design and fabricate efficient, bioinspired robots. Reinforcement Learning and Machine Learning: data-driven methods that let robots learn
-
background in AI and software development, particularly in computer vision or machine learning Experience with Swift development and/or strong willingness to work within the Apple development
-
statistical and/or mathematical programming languages (e.g., R, Matlab). Applicants with experience in marine mammal bioacoustics; machine learning; Bayesian statistics; statistical simulations of