Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- Germany
- Norway
- Denmark
- France
- Netherlands
- Austria
- Spain
- Poland
- United Kingdom
- Luxembourg
- Belgium
- Singapore
- Switzerland
- Canada
- Finland
- Portugal
- China
- Czech
- Ireland
- Italy
- Romania
- Saudi Arabia
- Cyprus
- Bulgaria
- Slovenia
- United Arab Emirates
- Worldwide
- Andorra
- Brazil
- Hong Kong
- Japan
- Latvia
- Taiwan
- 25 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Science
- Engineering
- Economics
- Mathematics
- Humanities
- Chemistry
- Linguistics
- Materials Science
- Earth Sciences
- Physics
- Education
- Electrical Engineering
- Psychology
- Arts and Literature
- Environment
- Law
- Business
- Sports and Recreation
- Design
- Philosophy
- 13 more »
- « less
-
and/or Drishti software packages for reconstructing CT data. Basic knowledge about machine learning is of advantage. Very good English skills. High motivation to strive for scientific excellence and to
-
; the upcoming Cryoscope pathfinder in Antarctica; the upcoming Roman Space Telescope (the RAPID PIT and RISE WFS teams are led by Caltech) Stellar astrometry and spectroscopy with Gaia and Euclid Machine learning
-
lit. b (postdoc) Limited until: 31.12.2029 Reference no.: 5198 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join
-
and/or cutting edges machine learning techniques to make foundational discoveries in reproductive medicine. The annual salary for this full-time position starts at $76,383, dependent upon skills and
-
silico identification of candidate developmental pathways explaining tradeoff variation. Contribute to advanced statistical analyses and interpretable machine learning approaches (in collaboration with
-
20 Feb 2026 Job Information Organisation/Company Polish Air Force University (PAFU) Research Field Other Researcher Profile Established Researcher (R3) Positions Postdoc Positions Application
-
reactivity under realistic conditions. A central aspect of the role is the derivation of interpretable descriptors from electronic structure calculations and the application of machine-learning methods (e.g
-
polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities
-
risk factors. The main objective is to design and apply machine learning and deep learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include
-
to shape behavior. Brainard and his team want to understand how the nervous system changes over the course of development to give rise to critical periods for learning, and how individuals’ innate variations