Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- France
- Portugal
- Norway
- Netherlands
- Singapore
- Spain
- Belgium
- Denmark
- United Arab Emirates
- China
- Italy
- Australia
- Canada
- Switzerland
- Luxembourg
- Austria
- Hong Kong
- Finland
- Ireland
- Czech
- Poland
- Japan
- Romania
- Estonia
- Brazil
- Lithuania
- Morocco
- Cyprus
- India
- Greece
- Saudi Arabia
- South Africa
- Andorra
- Latvia
- Taiwan
- Slovenia
- Armenia
- Barbados
- Europe
- Iceland
- Israel
- Malta
- Mexico
- New Zealand
- 38 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Psychology
- Education
- Materials Science
- Social Sciences
- Chemistry
- Earth Sciences
- Arts and Literature
- Linguistics
- Humanities
- Environment
- Law
- Sports and Recreation
- Electrical Engineering
- Physics
- Philosophy
- Design
- 14 more »
- « less
-
environment where machine learning meets real-world scientific impact. What You’ll Do: Conduct cutting-edge research at the intersection of AI and science Develop large-scale deep learning models for scientific
-
of industrial processes. In a joint effort of both institutes, the Department AI4Quantum – Machine Learning for Quantum Simulation and Computing and Thermal Energy and Process Engineering are looking for a PhD
-
analysis Large language models or machine learning/predictive modeling for longitudinal data analysis Strong computer programming skills Strong mathematical or statistical skills Ability to work as a part of
-
illumination variations, which introduce non-stationary shifts and degrade the performance of conventional models. The project proposes the use of hypernetworks to dynamically adapt the parameters of the gaze
-
of machine learning and computational approaches to modeling human learning and language, normally acquired through attainment of a PhD in Computer Science or equivalent formal training in similar field
-
software. (0-35) Experience in the application of advanced machine learning techniques (e.g., graph neural networks, reinforcement learning, probabilistic models, or latent representations) to biomedical
-
following areas: Strong foundation in machine learning, optimization, and deep learning algorithms, including Transformer architectures. Hands-on experience or solid theoretical knowledge of LLMs/SLMs
-
Are you passionate about using data science and machine learning to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
-
project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
-
vision. Understanding or willingness to learn advanced statistical modeling is a plus Assessment criteria and other qualifications: This is a career development position primarily focused on research