Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- Harvard University
- National University of Singapore
- UNIVERSITY OF SOUTHAMPTON
- Humboldt-Universität zu Berlin
- INESC ID
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Northeastern University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Bergen
- University of Michigan
- Zintellect
- Łukasiewicz PORT
- Barnard College
- Center for Drug Evaluation and Research (CDER)
- Christian-Albrechts-Universitaet zu Kiel
- FCiências.ID
- George Mason University
- Hong Kong Polytechnic University
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- King Abdullah University of Science and Technology
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Ryerson University
- SUNY University at Buffalo
- SciLifeLab
- Singapore University of Technology & Design
- The University of Alabama
- The University of Memphis
- University of Agder
- University of Birmingham
- University of Birmingham;
- University of British Columbia
- University of Leeds
- University of Nottingham
- University of Texas at Austin
- 26 more »
- « less
-
Field
-
programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in
-
; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
-
for heavy precipitation. Main Duties The responsibilities may include some but not all of the responsibilities outlined below. Implement and test different Artificial Neural Network (ANN) architectures
-
understanding of the mechanisms of astrocyte dysfunction and its impact on neuronal networks, building on the complementary expertise of a team with a strong publication record in reputable journals and proven
-
of experimental platforms to model human neural systems. The successful candidate will design and apply microphysiological systems, such as lab-on-a-chip or biosensor-integrated constructs, to study neural network
-
part of a team developing analytic likelihood approximations and neural posterior estimation methods for epidemic data analysis. This role offers an excellent opportunity to work at the interface
-
experience at the time of application; (b) experience in Neuromorphic Computing, Brain-inspired Machine Intelligence, Spiking Neural Networks or other related areas in artificial intelligence and data
-
consolidation and for decision-making study of neural networks that enable memory use of state-of-the-art experimental tools such as psychophysics, electrophysiology and optogenetics in rats collaborative
-
are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. For more information and how to apply
-
neural networks (including operator learning and surrogates), applications to Maxwell’s equations, fluid dynamics, multiphysics systems, quantum and control problems, and autonomous systems. Candidates