Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Forschungszentrum Jülich
- Nature Careers
- DAAD
- Leibniz
- Constructor University Bremen gGmbH
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Saarland University
- Universität Siegen
- Deutsches Elektronen-Synchrotron DESY
- Deutsches Elektronen-Synchrotron DESY •
- Fritz Haber Institute of the Max Planck Society, Berlin
- Heidelberg University
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Hereon
- Humboldt-Universität zu Berlin
- Lehrstuhl für Angewandte und Computergestützte Mathematik
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Max Planck Institute for Molecular Genetics •
- Max Planck Institutes
- NEC Laboratories Europe GmbH
- TU Dortmund
- University of Bremen •
- University of Potsdam •
- University of Potsdam, Faculty of Science
- University of Siegen
- University of Tübingen
- Universitätsklinikum Heidelberg – UK Mannheim GmbH
- cellumation GmbH
- 22 more »
- « less
-
Field
-
as of the 01.04.2026 at the following conditions: 50% = 19,92 hours Pay grade 13 TV-L limited by 31.03.2029 Your tasks: Development of architectures and algorithms for adaptation of time-triggered
-
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
-
algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
-
robotics Goal-driven agentic AI Autonomous medical imaging Design of AI-enhanced medical devices Machine learning models and algorithms for medical signal processing Embedded AI Privacy-aware AI Foundations
-
: Contribution to the research project WISES Develop reconfigurable hardware architecture combining AI accelerators and Genera-Purposes CPUs. Investigate optimization algorithms for customizing the hardware
-
(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
-
of research and innovation! Be part of change Design and development of IP cores for low-latency, high-throughput digital signal processing Simulation and verification of the implemented algorithms with test
-
part of change Driving innovative AI and robotics research Development and implementation, practical application, theoretical analysis and evaluation of AI algorithms Implementation of deep learning and
-
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
-
the results In addition, you will use algorithms to extract surface characteristics such as roughness, waviness, and contact ratio from the collected data Furthermore, you will develop a machine learning model