Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Norway
- France
- United Kingdom
- Portugal
- Sweden
- Netherlands
- Germany
- Denmark
- Australia
- Belgium
- Poland
- Spain
- Finland
- Austria
- Singapore
- Canada
- Ireland
- Czech
- Italy
- Luxembourg
- China
- Estonia
- Japan
- Romania
- Switzerland
- Morocco
- Latvia
- United Arab Emirates
- Bulgaria
- Cyprus
- Hong Kong
- Israel
- Lithuania
- Malta
- Mexico
- Andorra
- Bangladesh
- Barbados
- Europe
- Greece
- India
- New Zealand
- Saudi Arabia
- Slovakia
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Science
- Business
- Materials Science
- Mathematics
- Chemistry
- Education
- Social Sciences
- Electrical Engineering
- Earth Sciences
- Psychology
- Arts and Literature
- Environment
- Humanities
- Linguistics
- Sports and Recreation
- Physics
- Law
- Philosophy
- Design
- 14 more »
- « less
-
., hydrogels, polymers, structured tissues), with applications in biomedical engineering, soft robotics, and more broadly in adaptive multiphysics systems. The developed models will be physically based and will
-
for part-time employment. Starting date: 27.03.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
-
laboratories, including a shielded chamber for measurements of the effects of electromagnetic exposure and radiation. To strengthen our research in the field of artificial intelligence (AI)-based spectral
-
. Description: Our group uses high resolution ground-based optical and near-infrared solar spectra to diagnose and model different manifestations of stellar activity. Nearby sun-like stars are a crucial sample of
-
diagnosis of gas turbines. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components
-
the Department of Biology at New York University is seeking a Postdoctoral Associate to study axonal mRNA transport and how this unique pathway influences mitochondrial quality control in neurons in the context
-
Your Job: In an interdisciplinary team, you will implement approaches for the automated, large-scale availability and integration of energy system data and models, applying data science methods
-
DOE L-level security clearance Qualifications We Desire: Demonstrated experience with model-based reinforcement learning for real-time control applications Demonstrated experience with convolutional
-
advanced plasma diagnostics, plasma-based surface treatments, and surface characterization, with theoretical work focused on the modeling of such discharges. The PhD topic proposed here contributes
-
. The doctoral candidate will engage in interdisciplinary research, modeling threat actors, and developing AI-based monitoring tools. Responsibilities include publishing in top-tier journals/conferences and