Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- Leibniz
- Nature Careers
- Fraunhofer-Gesellschaft
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- University of Siegen
- Catholic University Eichstaett-Ingolstadt
- Constructor University Bremen gGmbH
- Deutsches Elektronen-Synchrotron DESY •
- Fritz Haber Institute of the Max Planck Society, Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- Saarland University •
- University of Bremen •
- University of Potsdam •
- cellumation GmbH
- 11 more »
- « less
-
Field
-
Hands-on experience with machine learning algorithms and developing/testing complex software systems Basic understanding of hardware/embedded software development Additional Requirements (MSCA Eligibility
-
. You will contribute to developing datasets, baseline models, personalized learning engines, reasoning-graph representations, cross-domain mapping algorithms, and RLHF-style feedback loops that improve
-
Technology, Dep. ETI / Embedded Systems, we are looking for a researcher as of the 01.04.2026. Your tasks: Development of architectures and algorithms for adaptation of time-triggered systems based
-
of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research
-
-throughput experiments in molecular biology, image and video analyses as well as pattern recognition of complex public health data Collaboration in the development of algorithms/methods and development
-
-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing
-
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Your tasks: Developing optimization algorithms for massively parallel hardware architectures such as AI
-
systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal
-
algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
-
Contribute to the development of new algorithms and methods for the efficient analysis of large-scale omics datasets Participate in workflow automation and management using systems such as Snakemake