Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Netherlands
- Sweden
- Germany
- Norway
- Denmark
- France
- Spain
- Belgium
- Australia
- Austria
- China
- Portugal
- United Arab Emirates
- Luxembourg
- Switzerland
- Canada
- Hong Kong
- Poland
- Singapore
- Finland
- Estonia
- Italy
- Morocco
- Czech
- Vietnam
- Greece
- Brazil
- Cyprus
- Saudi Arabia
- Latvia
- Malaysia
- New Zealand
- Taiwan
- Worldwide
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Biology
- Science
- Economics
- Mathematics
- Psychology
- Earth Sciences
- Environment
- Materials Science
- Education
- Electrical Engineering
- Humanities
- Business
- Social Sciences
- Chemistry
- Linguistics
- Arts and Literature
- Physics
- Law
- Sports and Recreation
- 12 more »
- « less
-
, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project City digital twins
-
of greenhouse gases including CO2 and CH4. The PhD project is part of the Horizon Europe Marie Sklodowska-Curie Action (MSCA) doctoral network (DN) ELEGANCE (machinE LEarning for inteGrated multi-parAmetric
-
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
-
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
-
, or algorithms for signal processing and machine learning in the broader domain of Astrophysics and/or Earth Observation. Candidates holding a PhD in Computer Science, Astrophysics, or a closely related field must
-
Productivity Index (RPI) using observed versus potential productivity modelled with machine learning (https://doi.org/10.1016/j.ecolind.2025.113208 ), this applied geospatial ecology project will study how
-
working with large deployed and productionised machine learning pipelines. PRIO offers Contract: 1.5 years, full-time temporary employment, with a salary based on qualifications and experience. Location
-
) 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
-
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
-
for GIS, cartographic maps, geodata infrastructures and geo-analytical workflows; some experience with AI and machine learning methods to label texts (NLP) or data sources; strong programming skills (e.g