Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- Leibniz
- Forschungszentrum Jülich
- Free University of Berlin
- DAAD
- University of Tübingen
- Technische Universität München
- German Cancer Research Center
- Heidelberg University
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Katholische Universität Eichstätt-Ingolstadt
- Max Planck Institute for Biology of Ageing, Cologne
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Demographic Research, Rostock
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max Planck Institute of Molecular Cell Biology and Genetics
- RWTH Aachen University
- 10 more »
- « less
-
Field
-
between the fields of computer sciences and architecture. The focus lies mainly on Building Information Modelling, decision-support methods in urban planning and knowledge-based design methods. As part of
-
for industry. To this end, the latest findings from the fields of artificial intelligence, machine learning and cloud-based methods are combined with proven expert knowledge to answer current questions in robot
-
of interest include, but are not limited to: AI methods that meet the complexity of living systems, high-dimensional machine learning for biology, statistical machine learning, AI‑driven laboratory automation
-
and/or AI-based approaches), including the integration of concepts such as reinforcement learning and multi-agent reinforcement learning Further development and use of virtual test environments
-
technology. What you will do As part of an internship, we offer you the opportunity to deepen your interest and knowledge in the field of machining. You will learn how to use CNC machine tools and manufacture
-
Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
studies Apply machine learning to uncover novel mechanisms and therapeutic insights Mentor junior scientists, contribute to grant writing and publications, and drive the lab’s scientific vision Apply
-
multi-parameter ion-beam tuning procedures (collaboration with Univ. of Vienna and HZDR) and developments of machine learning (ML)-algorithms for optimization of beam parameters and control of relevant
-
are developing AI that can map welding processes in the automotive industry based on simulation data. We are looking for a student assistant with an interest in machine learning and finite element simulation. Your
-
applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms
-
Organoid Engineering for Multi-Organ Interaction Studies (POEM) program ( www.uni-heidelberg.de/en/cctp-poem ) brings together expertise in material science, computer science/machine learning, biophysics