Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- DAAD
- Forschungszentrum Jülich
- Nature Careers
- Leibniz
- Saarland University
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- NEC Laboratories Europe GmbH
- Technische Universität München
- University of Potsdam, Faculty of Science
- University of Tübingen
- Universitätsklinikum Heidelberg – UK Mannheim GmbH
- 5 more »
- « less
-
Field
-
processing workflows including QC and reproducibility metrics * APIs and packages supporting the development of new algorithms spanning large * language modeling of DNA and RNA sequences, and algorithms
-
machine learning algorithms? Then you've come to the right place. Excellent programming skills (preferably in Python) are required. A strong interest in interdisciplinary work at the intersection of medical
-
Learning algorithms for EDA in terms of Computational Complexity, Performance Scores, etc. To learn more about our previous work, please check out our website ( www.cda.cit.tum.de/research/machine_learning
-
technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to push the
-
efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a sustainable future. These
-
? Then this position is just right for you! About us In the Autonomous Vehicle Lab, we develop the vehicle of the future with intelligent algorithms and methods. We are involved in numerous projects in
-
on design automation for quantum computers and develop methods and software tools dedicated to the design and realization of quantum algorithms/circuits. One of the main challenges in this design process is
-
AI4SmartCities that aims at technology transfer. The AI4SmartCities team is aimed to eventually create a spin-off company. The candidate is intended to conduct market research of AI for Smart Cities algorithms and
-
manipulation detection. Another focus is the development of algorithms for the areas of virtual product development, intelligent actuator-sensor systems and audio for the automotive sector. There are currently
-
on the 1D or analytical model) Hybrid simulation approach (e.g., which combine CFD and 1D simulations) High Performance Computing and/or GPU programming for this domain Machine learning algorithms