Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- DAAD
- Technical University of Munich
- Leibniz
- Nature Careers
- Heidelberg University
- University of Stuttgart •
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- UNIVERSITY OF TECHNOLOGY NUREMBERG
- Biomedical Center, LMU Munich
- Fraunhofer Institute for Wind Energy Systems IWES
- Free University of Berlin
- Goethe University Frankfurt •
- Hannover Medical School •
- Heidelberg University •
- Helmholtz-Zentrum Geesthacht
- Karlsruher Institut für Technologie (KIT)
- Max Planck Institute for Extraterrestrial Physics, Garching
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Saarland University
- Technische Universität Darmstadt
- University of Bamberg •
- University of Bremen •
- University of Hamburg
- University of Konstanz •
- 16 more »
- « less
-
Field
-
visualization in Python Numerical modeling and programing for model optimization & machine-learning What you contribute Studying Computational Engineering, Mechanical Engineering, Simulation Sciences, or a
-
Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
-
with tailored geometries and metallurgical configurations. Execution of laser welding experiments using advanced high-power laser systems, including parameter optimization for joining dissimilar material
-
quantum computers, which represent a promising path towards fault tolerant and scalable quantum computing. The project addresses a broad range of optimization problems relevant to both science and industry
-
-hardware Your Profile: Master and subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development
-
prediction Integration of domain decomposition methods into the learning framework to enable efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation
-
activity and stochasticity). For example, localized dendritic activation underlies numerous computational functions across hierarchical levels, such as denoising (filtering), increased expressivity (tunable
-
strategies on behalf of our customers, optimize existing production facilities, and implement future-oriented tool concepts. Our core competencies include machining technology, precision machining, cleaning
-
to join our world-leading research program in robotics, remote sensing, and data-driven approaches for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and
-
with total six partners one goal is the optimization of the MOCVD process of Ga2 O3 layers. The process will be developed for a recently installed AIXTRON showerhead reactor and will be supported by