Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Nature Careers
- Leibniz
- Forschungszentrum Jülich
- Technical University of Munich
- Technische Universität München
- DAAD
- Free University of Berlin
- Heidelberg University
- Deutsches Elektronen-Synchrotron DESY
- ;
- Humboldt-Stiftung Foundation
- Leibniz Universität Hannover
- TECHNICAL UNIVERSITY MUNICH (TUM)
- Ulm University
- University of Bonn
- University of Bremen
- Academic Europe
- Friedrich Miescher Laboratory of the Max Planck Society, Tübingen
- German Cancer Research Center
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Geesthacht
- Karlsruher Institut für Technologie (KIT)
- Katholische Universität Eichstätt-Ingolstadt
- Leibniz Institute of Vegetable and Ornamental Crops
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Biology of Ageing, Cologne
- 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, Dresden
- Menlo Systems GmbH
- Technische Informationsbibliothek (TIB)
- Technische Universität Darmstadt
- University of Tübingen
- Universität Heidelberg
- Universitätsklinikum Schlesswig-Holstein
- 27 more »
- « less
-
Field
-
prototypes in the field of medical technology and pharmaceutical production. Initially, these are conceptualized as CAD designs, then built and evaluated. Data analysis and process modeling are subsequently
-
this knowledge gap and establish improved GHG models accounting for soil invertebrates. To achieve this, we create a rich AI-training dataset for multi-modal inferences, combining computer-vision, environmental
-
learning for decentralized AI model training for tool wear detection and measurement in milling processes within the »FL4AI« project. A custom dataset has been acquired, consisting of microscopic tool wear
-
the project »MoGeSa« and develop a detailed Modelica-based simulation model of a floating wind platform for a 15 MW offshore wind turbine. As part of this, you will perform a large number of simulations using
-
literature research and familiarizing yourself with the required reaction and process engineering concepts. You will familiarize yourself with MATLAB software and the existing reactor model. You will model
-
sequencing, RNA sequencing, mouse models, iPSC-derived organoids, and functional genomics approaches. The lab has strong collaboration partner in computational biology and bioinformatics, and the candidate
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Since 2020, Fraunhofer Heinrich Hertz Institute has worked with United Nations
-
for implementations in the context of FAIR data principles, supported by further HMC computer scientists Support for the Helmholtz-wide HMC Hub Information at Forschungszentrum Jülich and in the domain of neuroscience
-
Research Associates (Doctoral Candidates) (f/m/d) within the Cluster of Excellence “The Ocean Floor"
ecosystems on the ocean floor react to environmental changes and (iv) develop scenarios for a “warmer world” from climate archives on the ocean floor with the help of climate models. Further information about
-
Systems is looking for a motivated student assistant to contribute to the analysis, design and development of digital twin models for optical communication networks. Be a part of our team and come on a