Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Leibniz
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- Heidelberg University
- Fritz Haber Institute of the Max Planck Society, Berlin
- Max Planck Institute for Demographic Research (MPIDR)
- ; Technical University of Denmark
- DAAD
- Fraunhofer-Gesellschaft
- Heinrich Heine University Düsseldorf
- Max Planck Institute for Demographic Research, Rostock
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- University of Tübingen
- 4 more »
- « less
-
Field
-
interdisciplinary research. What will be your tasks? The position focuses on co-design and co-evaluation of recommendations for seagrass management and seagrass restoration on the basis of spatial analyses of its
-
methods (e.g. X-ray reflectivity, X-ray fluorescence) Design of cells and reactors for operando studies Coordination and execution of synchrotron beamtimes Collaboration with other groups, in particular
-
Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
. The Department of Machine Learning for Materials Design is looking for a Postdoc (f/m/d): Machine Learning for Materials Modeling. Scope of Your Job In this role, you will contribute to ongoing research efforts in
-
-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR. • Know-how/Interest in designing user studies. • Excellent communication skills and a collaborative spirit to work with
-
hearing loss. However, current neural devices are large, complex, and invasive, and are therefore used by only a fraction of people who could benefit from them. The goal of NANeurO is to design new
-
international researchers who would like to continue a promising research program in a highly stimulating research context that values ideas, innovation, and independent thinking. We offer the perfect
-
learning and signal processing approaches to classify cap types from raw signal traces. Collaborate closely with experimental researchers to guide experimental design and interpret data. Contribute
-
assistants Your profile: PhD in social, I/O, or experimental psychology experienced in experimental research Interest in designing online interventions Profound knowledge of English Please contact Prof. Dr
-
computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
-
within a joint research programme. What will be your tasks? The position focuses on the co-design and co-development of a monitoring assessment and policy framework for mitigating changes in marine