Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Melbourne
- Istituto Nazionale di Fisica Nucleare
- Curtin University
- The University of Auckland
- Forschungszentrum Jülich
- Midlands Graduate School Doctoral Training Partnership
- DAAD
- Princeton University
- University of Oxford
- University of Manchester
- Queensland University of Technology
- Swinburne University of Technology
- Instituto Nacional de Investigação Agrária e Veterinária, I.P.
- Midlands Graduate School Doctoral Training Partnership;
- National Renewable Energy Laboratory NREL
- Tilburg University
- University of British Columbia
- University of Greenwich
- University of Minho
- ;
- Academic Europe
- Allied Scholarships Queensland Health
- Brisbane Catholic Education Aboriginal and Torres Strait Islander Student Teaching Scholarships
- Energy Queensland Future of Energy Engineering Scholarships
- Indiana University
- Instituto Nacional de Saúde Dr. Ricardo Jorge
- Max Planck Institutes
- Ministry of Education
- Puggy Hunter Memorial Scholarship
- The Department of Transport an Main Roads Women in Engineering (Regional Queensland) Bursary
- The Department of Transport an Main Roads Women in Engineering (South East Queensland) Bursary
- Universidade de Coimbra
- University of Arkansas
- University of Birmingham
- University of Canterbury
- University of Northern British Columbia
- University of Oklahoma
- University of Oxford;
- University of Toronto
- 29 more »
- « less
-
Field
-
for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics-aware learning methods with domain decomposition techniques, enabling parallel training and
-
19 Jan 2026 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile First Stage Researcher (R1) Application Deadline 19 Jan 2038 - 03:14 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research...
-
-aware learning methods with domain decomposition techniques, enabling parallel training and efficient GPU-supported implementation. Your tasks: Development of physics-aware ML models for 3D blood-flow
-
Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding while maintaining clarity in the interpretation of results. Concurrently, AI-based methods are...
-
and advanced signal processing to detect cyber threats in real-time while minimising energy consumption. Digital twins, as virtual replicas of physical systems, enable continuous monitoring and anomaly
-
the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for submanifolds and their temporal dynamics during behavior Leverage dimensionality reduction and
-
into the open-source CADET simulation framework, enabling fully predictive process simulations without extensive experimental calibration. Embedded in the Helmholtz Graduate School for Data Science in Life, Earth
-
isotherm parameters directly from molecular properties. These predictions will be integrated into the open-source CADET simulation framework, enabling fully predictive process simulations without extensive
-
related in space and time and to behavioral events. Core Tasks: Getting familiar with the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for
-
experience in machine learning and parallel computing Good organisational skills and ability to work both independently and collaboratively Experience with deep learning frameworks, such as Tensorflow