Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Germany
- Norway
- Denmark
- Netherlands
- France
- Spain
- Austria
- United Kingdom
- Belgium
- Poland
- Luxembourg
- China
- Portugal
- Singapore
- Canada
- Finland
- Switzerland
- Czech
- Ireland
- Italy
- Romania
- Cyprus
- Saudi Arabia
- Slovenia
- United Arab Emirates
- Worldwide
- Andorra
- Brazil
- Bulgaria
- Hong Kong
- Japan
- Latvia
- Taiwan
- 25 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Science
- Engineering
- Economics
- Mathematics
- Humanities
- Chemistry
- Materials Science
- Linguistics
- Earth Sciences
- Physics
- Psychology
- Education
- Electrical Engineering
- Law
- Arts and Literature
- Environment
- Business
- Sports and Recreation
- Design
- Philosophy
- 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
-
of working with motion capture, eye tracking, machine learning, or other advanced behavioral analyses or related research experiences. A consistently excellent academic track record is required, including
-
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
-
Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer Science
-
) signal processing, machine/deep-learning and computational linguistics. The team mobilizes them to produce methodologically sound research in response to some of the challenges posed by the nature and
-
to the fundamentals of spatiotemporal data science and machine learning using scripting languages. Supervise BSc and MSc thesis students conducting research in Geo-information Science. You will work here The research
-
for seasonal prediction using hybrid physics-machine learning models in R&D item Research on Seasonal Meteorological and Oceanographic Forecast Simulator under Development of Integrated Simulation Platform
-
and machine learning. Internal further training & coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your skills in over 600 courses
-
and simulation Prior experience with particle accelerators and/or FELs is highly desirable Familiarity with machine learning techniques is a plus but not necessary Excellent command of English is
-
with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing