Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Sweden
- France
- Norway
- Portugal
- Singapore
- Netherlands
- Spain
- Belgium
- Denmark
- United Arab Emirates
- China
- Italy
- Australia
- Canada
- Switzerland
- Luxembourg
- Hong Kong
- Austria
- Finland
- Ireland
- Czech
- Poland
- Japan
- Romania
- Estonia
- Brazil
- Cyprus
- Latvia
- Morocco
- India
- Saudi Arabia
- Lithuania
- South Africa
- Andorra
- Greece
- Taiwan
- Israel
- Slovenia
- Armenia
- Barbados
- Europe
- Iceland
- Malta
- Mexico
- New Zealand
- Slovakia
- Vietnam
- 40 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Mathematics
- Education
- Psychology
- Materials Science
- Arts and Literature
- Chemistry
- Social Sciences
- Humanities
- Earth Sciences
- Linguistics
- Environment
- Sports and Recreation
- Law
- Electrical Engineering
- Physics
- Design
- Philosophy
- 14 more »
- « less
-
bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how
-
applying coarse-grained simulation models Developing or using machine learning models to study sequences of disordered proteins The candidate should have a strong quantitative background. Our group and
-
will apply machine learning — in particular physics-constrained symbolic regression — to discover compact analytical spin-Hamiltonians and their parameter dependencies. These Hamiltonians will feed large
-
on the development of advanced artificial intelligence and machine learning methods for genome interpretation, with a particular emphasis on modeling the relationship between genetic variation and phenotypic outcomes
-
modelling, multimodal neuro-imaging and physics-informed machine learning to improve assessment of glioblastoma treatment response. The candidate will also be expected to contribute to the formulation and
-
demonstrated track record in protein structure modelling methods, with hands‑on experience in protein or biologics design and engineering. Hands‑on experience with common machine learning / deep learning
-
& Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame
-
accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 6 days ago
to intertwine a multi-contact whole-body controller, a digital simulation of the interacting humans, and machine learning models to predict and respond to human movements and intentions. In a crescendo of
-
Date: August 15, 2026 (negotiable) Specialty Areas: Computational Linguistics, Language Acquisition, Cognitive Modeling, Machine Learning The Department of Linguistics at the University of Michigan