Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Norway
- Germany
- France
- Denmark
- Netherlands
- Spain
- United Kingdom
- Austria
- Belgium
- Poland
- China
- Luxembourg
- Portugal
- Switzerland
- Finland
- Italy
- Singapore
- Romania
- Canada
- Czech
- Saudi Arabia
- Ireland
- Lithuania
- Worldwide
- Brazil
- Cyprus
- Slovenia
- United Arab Emirates
- Andorra
- Bulgaria
- Europe
- Hong Kong
- Japan
- Latvia
- Morocco
- Taiwan
- 28 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Science
- Biology
- Engineering
- Economics
- Mathematics
- Chemistry
- Materials Science
- Humanities
- Linguistics
- Earth Sciences
- Physics
- Environment
- Psychology
- Education
- Business
- Electrical Engineering
- Arts and Literature
- Law
- Design
- Philosophy
- Sports and Recreation
- 13 more »
- « less
-
connectivity and graph-theoretic analyses Familiarity with MR sequence programming (Siemens or GE platforms) Machine learning / AI applied to neuroimaging data EEG acquisition and analysis Use of neuroanatomical
-
, and written communication skills evidenced by a publication record in the area of control theory, mathematical optimization, AI, or machine learning. Preferred Qualifications: Publication record in
-
CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 27 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
-
to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting
-
sciences, computer science, machine learning, and education research. Research Role Research themes for the NTO Postdoctoral Associate include, but are not limited to: Developing or evaluating methodologies
-
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 Mechanical and Aerospace Engineering at UCSD invites applications for a postdoctoral fellowship funded by the Gordon and Betty Moore Foundation focused on the topic of machine learning-based ocean state
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours 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
-
for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova
-
, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity