Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Germany
- Norway
- France
- Denmark
- Netherlands
- Spain
- United Kingdom
- Austria
- Belgium
- Luxembourg
- Switzerland
- China
- Portugal
- Poland
- Finland
- Italy
- Singapore
- Canada
- Czech
- Saudi Arabia
- Cyprus
- Ireland
- Lithuania
- Romania
- Brazil
- Slovenia
- United Arab Emirates
- Worldwide
- Andorra
- Bulgaria
- Hong Kong
- Latvia
- Morocco
- Taiwan
- 26 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Science
- Biology
- Engineering
- Economics
- Mathematics
- Chemistry
- Materials Science
- Humanities
- Earth Sciences
- Environment
- Linguistics
- Psychology
- Arts and Literature
- Education
- Electrical Engineering
- Business
- Physics
- Law
- Design
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
-
fields. Your research can be theoretical, applied, or span both. Deadline February 9, 2026. Where to apply Website https://jobrxiv.org/job/ellis-institute-finland-27778-postdocs-in-machine-learn
-
CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 18 days ago
-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Open Postdoc
-
Cornell University, Electrical and Computer Engineering Position ID: Cornell-ECE-POSTDOC [#31375] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14853
-
together with Jendrik Seipp, Senior Associate Professor in Artificial Intelligence at LiU. The research projects for the advertised position will be in the areas of automated planning and machine learning
-
modeling approaches-including machine learning (ML), hydrologic and energy systems simulations, and scenario forecasting-to evaluate dynamic energy-water futures and resilience strategies for diverse Idaho
-
mathematics, optimisation, biomathematics, statistics, and data science with strong connections to engineering, natural sciences, and industry. About the research project We will recruit one postdoc in applied
-
at the intersection of educational data science, AI in education, and the learning sciences, with additional advisory support from faculty and researchers across learning sciences, computer science, machine learning
-
with modern machine learning and AI technologies to effectively address large-scale problems. About the research project We are seeking a highly motivated Postdoc to join our group in developing
-
by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly