Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Nature Careers
- Technical University of Munich
- Leibniz
- Forschungszentrum Jülich
- Free University of Berlin
- DAAD
- University of Tübingen
- Heidelberg University
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- ;
- Max Planck Institute for Biology of Ageing, Cologne
- Max Planck Institute of Immunobiology and Epigenetics, Freiburg
- Max Planck Institute of Molecular Cell Biology and Genetics
- Technische Universität München
- 5 more »
- « less
-
Field
-
of computer science or using computer vision methods Excellent knowledge of the development and implementation of methods in the field of digitization, artificial intelligence, machine learning and/or 2D/3D imaging and
-
the fields of Quantum Machine Learning, Quantum Simulation, and Quantum Optimization. These solutions are made available to the German economy as digital services, while targeted knowledge transfer ensures
-
: machine learning, data analysis, energy technology Experience with common deep learning and data analysis frameworks (e.g., PyTorch, Numpy, Pandas, sklearn, etc.) Independent, structured, and reliable way
-
of research focus include machine learning/learning analytics, multimodal assessment, adaptive learning in online settings, and the role of self-regulation in learning with AI. Close networking with
-
Biology, Computer Science or related studies) Experience in Python with PyTorch (or equivalent) programming Experience in sequencing data analysis Basic knowledge in machine learning Experience with linux
-
• Experience with machine learning frameworks (e. g. TensorFlow, PyTorch) and Explainable AI (XAI) • Experience with machine learning and/or AI-based methods for data analysis • Experience in processing and
-
Quality”, we focus on data-driven optimization of production processes with the help of machine learning and artificial intelligence. Laser processes enable highly precise and flexible material processing
-
). Knowledge of Docker and machine learning is considered a plus. Knowledge of standard bioinformatics tools for analyzing and interpreting Next Generation Sequencing data. Excellent oral and written
-
05.05.2025, Wissenschaftliches Personal At the chair of Data Analytics and Machine Learning at the Technical University of Munich (TUM), a full position will be available from May 2025 in
-
necessary records and entering data onto computer systems. Your role: Animal husbandry, care and use Provide day to day routine husbandry, maintenance and care of LAR fish colonies (zebrafish, medaka