Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- UiT The Arctic University of Norway
- NTNU - Norwegian University of Science and Technology
- INESC TEC
- Harvard University
- Instituto Pedro Nunes
- Monash University
- NTNU Norwegian University of Science and Technology
- Northeastern University
- UNIVERSITY OF HELSINKI
- University of Hertfordshire;
- University of New South Wales
- ;
- Dana-Farber Cancer Institute
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- FCiências.ID
- Florida Atlantic University
- Genentech
- Institut national de la recherche scientifique (INRS)
- LE STUDIUM LOIRE VALLEY INSTITUTE FOR ADVANCED STUDIES
- Nature Careers
- Nova School of Business and Economics
- RCSI - Royal College of Surgeons in Ireland
- Simons Foundation/Flatiron Institute
- The University of British Columbia (UBC)
- UNIVERSITY OF SURREY
- Universidade de Aveiro
- University of Alabama, Tuscaloosa
- University of Bergen
- University of Birmingham
- University of British Columbia
- University of Nottingham
- University of Oslo
- University of South-Eastern Norway
- University of Southern Denmark
- University of Turku
- University of Warwick;
- 27 more »
- « less
-
Field
-
. The goal is to contribute broadly to research on applications of AI in medicine, and in particular to the development and validation of novel computational language models, algorithms, and tools
-
algorithms for analyzing electrocardiography, electromyography and movement signals, identifying characteristics and recognizing patterns in everyday activities. Testing and validation of methods developed in
-
, inferential, and multivariate methods, including principal component analysis (PCA), regression, and machine learning algorithms (e.g., Random Forest), with the aim of integrating various environmental exposure
-
learning, and data science, focusing on applications within the healthcare, education, and environment sectors. Designs generative AI techniques and algorithms for data integration and computational models
-
develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
-
generation Energy Management Systems (EMS) to be integrated by different stakeholders, while demonstrating the value added of asset’s connection to common data space, reducing uncertainty and hence increasing
-
The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 2 months ago
optimization and coordination algorithms for BC Hydro–cVPP interaction and evaluate grid performance through simulated case studies, and analyze service offerings and pricing via case studies and apply social
-
waveguide setups and development of PCBs for reconfigurable intelligent surfaces (RIS).; 2. Implementation, testing, and optimization of RIS control algorithms on microcontroller-based platforms.; 3
-
, scikit-learn); Familiarity with advanced methods such as causal forests, uplift modeling, instrumental variables, or difference-in-differences is highly valued. WORK PLAN
-
experience Evidence of experience with public-patient involvement and stakeholder engagement Track record in scientific publication and dissemination Experience with Machine Learning Algorithms and Artificial