Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- Sweden
- Germany
- Norway
- France
- Denmark
- Spain
- Australia
- Belgium
- Austria
- United Arab Emirates
- China
- Luxembourg
- Switzerland
- Portugal
- Singapore
- Finland
- Canada
- Poland
- Hong Kong
- Italy
- Estonia
- Morocco
- Czech
- Vietnam
- Cyprus
- Brazil
- Greece
- Saudi Arabia
- Latvia
- Malaysia
- New Zealand
- Slovenia
- Taiwan
- Worldwide
- 27 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Science
- Economics
- Mathematics
- Psychology
- Earth Sciences
- Environment
- Materials Science
- Education
- Humanities
- Electrical Engineering
- Linguistics
- Business
- Social Sciences
- Chemistry
- Arts and Literature
- Physics
- Law
- Sports and Recreation
- 12 more »
- « less
-
Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
-
at the Nuffield Department of Population Health (NDPH), the Big Data Institute (BDI), and the Department of Psychiatry. You will Develop, implement, and adapt existing self-supervised and multimodal learning
-
Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
PSCSR-seq. Training PhD students and post-docs to analyze large-scale datasets and interpreting results. Provide input to projects in our group and help with illustrating complex biological datasets. Your
-
contribute to patents or technical innovations. Qualifications: PhD in Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, or a related field. Strong experience in developing and
-
Full Time Posting Number 25FA1242 Posting Open Date 12/15/2025 Posting Close Date Qualifications Minimum Education and Experience This position requires a PhD in Electrical and Computer Engineering or a
-
of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
-
) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in
-
of computation that aim to lower energy consumption for machine-learning and information processing tasks (see, e.g., arXiv:2308.15905 ). Quantum phenomena in information processing: Investigating how genuine
-
Mattelaer, Christophe Ringeval). Research activities in include SM and BSM aspects of collider physics (LHC and future colliders, simulation tools, machine learning, effective field theories, amplitude
-
well as familiarity with machine learning workflows, natural language processing (NLP), and text-as-data methods. We are especially interested in applicants who demonstrate a strong substantive interest in using