Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Nature Careers
- Technical University of Munich
- Forschungszentrum Jülich
- Leibniz
- Free University of Berlin
- Technische Universität München
- DAAD
- European Magnetism Association EMA
- Heidelberg University
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr
- Max Planck Institute for Plant Breeding Research, Cologne
- Technische Universität Braunschweig
- Technische Universität Darmstadt
- 6 more »
- « less
-
Field
-
Your Job: Neural interfaces are electronic devices designed to interact with the nervous system, capturing and controlling neural activity to map neural networks, understanding the mechanisms behind
-
Designing a standardized heating network model to test the interface Conducting thorough analyses of the simulation results Your Profile: Studying Mathematics, Physics, Computer Science, Electrical
-
Description of the offer : Participation in the DFG-funded project “Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491
-
the fundamental mechanisms of innate immune activation that play a crucial role in autoinflammatory, rheumatologic and chronic inflammatory diseases. In this role you will be supporting the histology experiments
-
Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 3 months ago
. The position is available immediately, the starting date is flexible till January 2026. The doctoral researcher will work on a 3-year-doctoral program. The successful candidate will be supervised by Prof. Dr
-
mechanisms. Job description: • Research and development in the field of AI-supported analysis of biomedical data • Implementation and evaluation of methods for AI validation and model interpretability
-
analysis and visualization Numerical modeling and programming for model optimization & machine-learning What you bring to the table You are studying Simulation Sciences, Mechanical Engineering, Computational
-
difference. For themselves, for us and for the markets of today and tomorrow. The processing, coating and finishing of surfaces is important in almost every industry - from mechanical engineering and solar
-
mechanical engineering, aerospace engineering, physics or a comparable subject area Basic knowledge of machining, force modeling, and technical mechanics is an advantage Ideally initial experience with CAM
-
mechanisms such as language and memory. We employ an interdisciplinary approach combining elements of cognitive psychology (e.g., behavioral measurements), neuroscience (especially neuroimaging: fMRI / EEG