Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Germany
- Norway
- Denmark
- France
- Netherlands
- Poland
- Spain
- Austria
- Belgium
- United Kingdom
- Luxembourg
- Finland
- Singapore
- Switzerland
- Canada
- China
- Italy
- Portugal
- Saudi Arabia
- Ireland
- Romania
- Bulgaria
- Cyprus
- Slovenia
- Worldwide
- Andorra
- Brazil
- Hong Kong
- Japan
- Latvia
- Taiwan
- United Arab Emirates
- 24 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Science
- Engineering
- Economics
- Mathematics
- Humanities
- Linguistics
- Materials Science
- Chemistry
- Physics
- Psychology
- Earth Sciences
- Education
- Electrical Engineering
- Arts and Literature
- Environment
- Law
- Business
- Design
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
must be no earlier than 2024. You must have at least one first-author publication published by the time of starting the Postdoc. Application Please apply online at https://cemm.onlyfy.jobs/job/7k2624z5
-
, multi-modal data, and GPU-accelerated machine learning for materials science. Information We are seeking two highly motivated postdoctoral researchers to join the Horizon Europe project SIMU-LINGUA, a
-
, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual
-
: Education: Ph.D. in machine learning, computer science, engineering, physical science or related technical discipline. Experience: Expertise in developing and training AI models Proficiency in Python
-
Hospital, Copenhagen). The successful candidate will be responsible for designing and implementing the predictive modeling strategy of the project. This includes: Developing machine-learning prediction
-
brings complementary and/or additionally new expertise including AI/Machine Learning-based methodologies that can be developed for virtual ligand screening, reverse virtual screening (target fishing) and
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
-
conduct research on the theoretical foundations of mathematical optimization, as well as its applications to emerging challenges in machine learning and engineering. You will write and submit research
-
the application of these methods to problems in the physics of oxides, semiconductors, metals and their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists
-
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 21 days ago
AI in biology. The successful candidate will design and implement physics-informed machine learning frameworks and predictive models to uncover how gene expression and mechanical forces interact