Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Sweden
- Germany
- France
- Singapore
- Portugal
- Norway
- Australia
- Spain
- Netherlands
- Belgium
- Denmark
- Canada
- Hong Kong
- Italy
- Austria
- China
- Poland
- United Arab Emirates
- Ireland
- Luxembourg
- Switzerland
- Czech
- Finland
- Japan
- Morocco
- India
- Cyprus
- New Zealand
- Brazil
- Latvia
- Saudi Arabia
- Estonia
- Taiwan
- Slovenia
- Andorra
- Bulgaria
- Lithuania
- Romania
- South Africa
- Worldwide
- Croatia
- Vietnam
- Armenia
- Greece
- Iceland
- Israel
- Slovakia
- Barbados
- Europe
- Fiji
- Lebanon
- Macau
- Malta
- Mexico
- Qatar
- 47 more »
- « less
-
Program
-
Field
- Economics
- Medical Sciences
- Computer Science
- Engineering
- Business
- Biology
- Education
- Science
- Materials Science
- Mathematics
- Psychology
- Arts and Literature
- Social Sciences
- Law
- Humanities
- Linguistics
- Chemistry
- Electrical Engineering
- Sports and Recreation
- Environment
- Physics
- Earth Sciences
- Design
- Philosophy
- Statistics
- 15 more »
- « less
-
of Computing Sciences. The project focuses on studying systems where multiple machine learning algorithms interact on shared platforms, aiming to characterize their behavior and build theoretical foundations
-
15 Apr 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Machine Learning and Neural Computation Research Field Computer science Researcher Profile
-
15 Apr 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Machine Learning and Neural Computation Research Field Computer science Researcher Profile
-
sophisticated machine learning models to infer the location of hidden or obscured conductors. You will work in SSEN’s core asset data team, working collaboratively to develop tools and embed techniques to develop
-
the groups of Dr Joe Forth, Dr Anthony Bradley, and Project Lead Professor Steve Rannard, applying your expertise in machine learning, cheminformatics, and soft materials to accelerate LAT design and
-
researchers to translate models into usable tools and optimize simulation inputs. User Workflows & Interfaces: Develop intuitive interfaces (CLI/APIs) and streamlined workflows for simulations. Machine Learning
-
Analytics. Instructional areas include, but are not limited to, data analytics (with expertise in data exploration and data engineering), probability and statistics, machine learning, data visualization
-
segmentation, target detection and change detection along and across multiannual series of data. Methodologies like foundational models, machine learning, deep learning, multitask learning, enforcement learning
-
, Applied Mathematics, or Computational Physics/Chemistry with a strong ML focus. Technical: Deep understanding of Deep Learning (Transformers, GNNs, Auto-encoders). Programming: Proficiency in Python and
-
applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include: Development and application of AI and machine