Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Forschungszentrum Jülich
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- Leibniz
- DAAD
- University of Potsdam
- University of Stuttgart
- Deutsches Elektronen-Synchrotron DESY
- Heidelberg University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Technische Universitaet Dresden
- Universitaet Muenster
- University of Cologne
- University of Tübingen
- Universität Siegen
- 7 more »
- « less
-
Field
-
managing supercomputer resources Strong skills in algorithm development for large sparse matrices Excellency in programming GPU accelerators from all major vendors Very good command of written and spoken
-
systems and accelerate the discovery of innovative therapies: AI-supported Mechanistic Modelling and Simulationfor Infection Research.Computational Network Sciences and AI for Biology and Health. We offer
-
on the DESY campus as well as in the accelerator tunnels of PETRA III and the European XFEL. The aim of the project is to precisely localise seismic disturbance sources, to better understand their coupling
-
Your Job: You will be part of a research team that applies high-throughput experimentation to accelerate research in the emerging field of electrocatalysis. Catalyst inks are at the forefront
-
particular, we aim to develop a neural network architecture that will allow us to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design
-
: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical
-
training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide: https://go.fzj.de/welcome WORK-LIFE BALANCE: We offer flexible working
-
architecture combining AI accelerators and Genera-Purposes CPUs. Investigate optimization algorithms for customizing the hardware architecture for AI applications Implementation and evaluation as part of a use
-
to accelerate solving AC power flow (AC-PF) computations, potentially facilitating real‑time contingency analysis, rapid design‑space exploration, and on‑line operational optimization of power systems
-
Project & Group: You will work in the Computational Chemistry group, led by Dr. Mehdi D. Davari, an interdisciplinary team focused on accelerating chemical and biological discovery using computational tools