Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- DAAD
- Nature Careers
- Technical University of Munich
- Constructor University Bremen gGmbH
- University of Tübingen
- Analytical Food Chemistry at Technical University of Munich
- Heidelberg University
- Helmholtz Zentrum Hereon
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Hereon
- Kunsthistorisches Institut in Florenz - Max Planck Institute, Florence, Italy
- Leibniz
- University of Bonn •
- University of Siegen
- Universität Siegen
- 8 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...
-
) Expertise in further programming languages (in particular C++), GPU programming, parallel programming or high-performance computing are highly valued Keen interest in neuroscience is essential Experience with
-
classical calibration pipelines, including camera models, calibration targets, and algorithms, followed by an overview of our in-house specialized methods. In parallel, you will work in experimental setups
-
Future. Discover. Together. The introduction of AI applications places high demands on optical connections in data centers. In addition to the approach of fewer parallel channels with very high data
-
Applications Host: University of Southampton (SOTON), Southampton, United Kingdom Supervisor: Dr. Ruomeng Huang Focus: on-chip cooling and system optimisation Background: electrical engineering, mechanical
-
measurements, and simulation results Integrate data engineering workflows with HPC-based simulation environments Optimize and parallelize software solutions for execution on one of the world’s most powerful and
-
- experience with HPC clusters, parallel or distributed computing - German language skills We offer - a cutting-edge research environment at PETRA III imaging beamlines - collaboration with leading institutions