Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- ;
- Nature Careers
- National University of Singapore
- University of British Columbia
- AbbVie
- KINGS COLLEGE LONDON
- King's College London
- University of Birmingham
- University of Oslo
- Monash University
- Singapore Institute of Technology
- The University of Queensland
- UiT The Arctic University of Norway
- University of Bergen
- University of New South Wales
- University of South-Eastern Norway
- University of Stavanger
- Western Norway University of Applied Sciences
- CRANFIELD UNIVERSITY
- Central Michigan University
- Curtin University
- Harvard University
- Northeastern University
- Simons Foundation
- University of Alabama, Tuscaloosa
- University of Cambridge
- University of Melbourne
- University of Michigan
- Zintellect
- Arizona State University
- Colorado State University
- Cornell University
- Cranfield University
- George Mason University
- Humboldt-Stiftung Foundation
- Imperial College London
- Johns Hopkins University
- LINGNAN UNIVERSITY
- Manchester Metropolitan University
- Marquette University
- NTNU - Norwegian University of Science and Technology
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- RMIT University
- Stanford University
- The University of Western Australia
- University of Adelaide
- University of Agder
- University of Leeds
- University of Liverpool
- University of Stirling
- University of Texas at Austin
- University of Waterloo
- 44 more »
- « less
-
Field
-
and refine algorithms and models for large-scale language processing tasks, with a focus on healthcare data Contribute to developing new models, techniques and methods for clinical machine learning
-
transcriptomic data, that will be integrated with clinical metadata and whole-genome data for developing machine learning models to identify and predict patient factors driving toxicity response and sensitivity
-
& Development - Conduct original research in deep learning, related to uncertainty quantification for large models. - Explore cutting-edge advancements in AI and relate it to the main research objective
-
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
-
with strong background in Computer Vision and Machine Learning. Position Overview: In this position, you will investigate the existing solutions for assessing datasets and developing a novel tool relying
-
from sensors or other continuous data sources. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages
-
PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large language models (LLMs), including
-
for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. The post-holder will also be responsible for writing up the findings
-
element method, wave propagation analysis, inverse problem, machine learning (ML), and artificial neural network. Strong background in research publications in the desired field. Experience mentoring other
-
. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory