Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- France
- Germany
- Norway
- United Arab Emirates
- Canada
- Spain
- Denmark
- Netherlands
- China
- Hong Kong
- Poland
- Switzerland
- Belgium
- Finland
- Ireland
- Luxembourg
- Singapore
- Australia
- Austria
- Italy
- Japan
- Morocco
- Saudi Arabia
- Taiwan
- Czech
- Portugal
- Romania
- South Africa
- Andorra
- Brazil
- Cyprus
- Estonia
- Greece
- India
- New Zealand
- Barbados
- Europe
- Lithuania
- Mexico
- Slovenia
- Vietnam
- Worldwide
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Mathematics
- Chemistry
- Psychology
- Education
- Earth Sciences
- Environment
- Humanities
- Materials Science
- Physics
- Social Sciences
- Law
- Arts and Literature
- Electrical Engineering
- Business
- Linguistics
- Statistics
- Philosophy
- Sports and Recreation
- 14 more »
- « less
-
. This position will focus on developing and applying novel statistical methods, machine learning approaches, and AI-driven computational tools, with a strong focus on statistical genetics and genomics
-
, machine learning, or data analytics. As a proficient programmer (ideally Python), you will be curiosity-led, with exceptional communication skills, and thrive in a highly interdisciplinary environment. You
-
researchers across learning sciences, computer science, machine learning, and education research. Research Role Research themes for the NTO Postdoctoral Associate include, but are not limited to: Developing
-
development (e.g. quantum Monte Carlo, neural quantum states, tensor networks, machine learning and data science, dynamical mean field theory, diagrammatic Monte Carlo, etc.) Key Responsibilities Conduct
-
and continued funding. Fellows in the postdoctoral track are not required or expected to teach, but if they wish, they may have the option of teaching. Teaching opportunities are subject to sufficient
-
field. Preferred Qualifications: • Strong publication record in peer-reviewed journals or top-tier conferences relevant to machine learning, computational biology, virology, immunology, or structural
-
questions and data of CREATE. The successful candidate will conduct advanced methodological and psychometric research. Potential topics include (a) AI, machine learning, and large language models
-
dramatic upheaval as a result of rapid technological change driven simultaneously by digitization, the application of artificial intelligence and machine learning to all facets of company, economic, and
-
-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
-
, stochastic differential equations, computational methods in fluid mechanics and turbulent flows, high-performance computing, machine learning methods in computational problems. GSSI is a world-renowned