Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- AALTO UNIVERSITY
- Susquehanna International Group
- Duke University
- Technical University of Munich
- UNIVERSITY OF HELSINKI
- Carnegie Mellon University
- KINGS COLLEGE LONDON
- New York University
- The Ohio State University
- UNIVERSIDAD POLITECNICA DE MADRID
- Universite de Moncton
- Academic Europe
- Brookhaven Lab
- Brookhaven National Laboratory
- CNRS
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Drexel University
- Edmund Mach Foundation
- Forschungszentrum Jülich
- Heraeus Covantics
- Leibniz
- Lunds universitet
- Michigan State University
- National Renewable Energy Laboratory NREL
- Nature Careers
- SINTEF
- Technical University of Denmark
- The University of Iowa
- Universidad de Alicante
- University of Alabama, Tuscaloosa
- University of Cambridge;
- University of Florida
- University of Massachusetts Medical School
- University of Minnesota
- University of Newcastle
- University of Oxford
- University of Sheffield;
- University of West Bohemia
- Virginia Tech
- 29 more »
- « less
-
Field
-
patient samples. The Sheffield arm of the project will develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung
-
professional development opportunities and strive to meet each individual’s development and well-being goals as much as possible. As an associate researcher with expertise in the field of machine learning within
-
addition to this basic research, FTRG is involved in large community-based prevention efforts in both military and civilian populations. These studies use the full spectrum of research methods, from intensive
-
for data augmentation, small language models, anomaly detection using learning methods, and explainability techniques for decision-making. The research will involve designing and developing prototypes
-
. Desirable Qualifications: Experience with cryogenic systems and low-temperature measurements. Knowledge of artificial intelligence (AI) and machine learning (ML) for inverse design of metamaterials. Previous
-
health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
-
with a background in Language Technology, Machine Learning, or Language Typology who are interested in automatic classification and analysis of hundreds of languages to undertake a PhD project exploring
-
the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
-
on the application of machine learning in satellite communications (20 points). Participation in European Space Agency projects (20 points). Other skills that are valuable, but not mandatory are: Knowledge of over
-
deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature