Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Zintellect
- Harvard University
- University of Bergen
- University of British Columbia
- KINGS COLLEGE LONDON
- Simons Foundation
- University of Cincinnati
- University of New South Wales
- University of South-Eastern Norway
- Carnegie Mellon University
- Colorado State University
- King's College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- Open Society Foundations
- QUEENS UNIVERSITY BELFAST
- Simons Foundation/Flatiron Institute
- Stanford University
- University of Texas Rio Grande Valley
- ;
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- American University
- Australian National University
- CSIRO
- Cornell University
- Humboldt-Stiftung Foundation
- INESC TEC
- Indiana University
- Lawrence Berkeley National Laboratory
- Massachusetts Institute of Technology
- Montana State University
- NORDITA-Nordic Institute for Theoretical Physics
- National Research Council Canada
- Northeastern University
- Oklahoma State University
- Purdue University
- RMIT UNIVERSITY
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- School of Sciences
- Tallinn University
- The University of Memphis
- Trinity College Dublin
- UNIVERSITY OF ADELAIDE
- UiT The Arctic University of Norway
- Universidade Nova de Lisboa
- Universidade de Coimbra
- University of California
- University of Inland Norway
- University of Kansas Medical Center
- University of Maryland
- University of Michigan
- University of North Carolina at Chapel Hill
- University of Stavanger
- University of Tartu
- University of Waterloo
- 46 more »
- « less
-
Field
-
with machine learning techniques for robotic decision-making and intelligent control for tasks with high uncertainties. Experience with research on multi-agent collaboration and decentralized control
-
condition leading to medical discharge following combat related trauma in our military. Learning opportunities include, but are not limited to: exposure to various aspects of pre-clinical research by
-
-FATES model using: Snow cover Flux tower data The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model calibration techniques recently
-
strong, demonstrated interest to conduct academic research in a relevant field Interest in legal research Interest in causal inference and social science Experience with machine learning / deep learning
-
and machine learning to optimize treatment conditions. Contribute to the development of reproducible stress priming methods and assist in transferring knowledge to agricultural stakeholders. Required
-
algorithm development, modeling machine learning, and scientific simulation ▪ Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists ▪ Strong oral and written
-
of microphysiological systems or organ on a chip model for viral agents. Research project emphasis is placed on determining virus growth and stimulation of an appropriate immune response that mimics what is observed in
-
active role in developing novel machine learning based systems and tools on the path towards clinical use and implementation of AI for the treatment and care of individuals also from minority populations
-
power engineering. In condition monitoring non-invasive data is analyzed through machine learning algorithms or by statistical methods. The aim of predictive analysis is to use non-invasive methods
-
in writing grant applications and working with machine learning approaches such as MaxEnt, random forest, neural network. Experience using Geographical Information Systems and ecological niche modeling