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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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Max Planck Institute of Colloids and Interfaces | Potsdam, Brandenburg | Germany | about 1 month ago
) for Functional Material Design in Summer 2027! We are recruiting doctoral candidates to help shape a resource-efficient future. The candidates will work on individual projects exploring how we can learn from
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investigate how AI methods and workflows can be designed and adapted to handle large, heterogeneous EO tasks efficiently and reliably. You will develop and evaluate approaches that address the trade-offs
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application. The project aims to change this by realizing pulsed DNP on a chip. What you would be doing PhD 1: • explore architectures and design the pulsed-DNP chip • oversee chip manufacturing and
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molecular and cellular systems and protein and molecule design to complex biological traits and neural networks. As the School connects researchers across Germany, doctoral researchers come together
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. Your job: You will design, build and experimentally investigate a water-based electric propulsion system. Your work will focus on propellant management, plasma generation and system performance under
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Munich form one of Europe's leading centers for biomedical imaging and sensing innovation. Our mission is to create transformative technologies that reveal previously inaccessible biological information
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: Design, implement and characterize innovative sensing systems based on different sensing principles such as ultrasonic, optical and chemical sensors. Investigate sensor behavior under varying environmental
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experimental and testing protocols Investigating functional additives to improve anode performance and stability Developing suitable current-collector concepts for alkaline battery operation Designing and
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to (1) optimize the design of hybrid electrical–optical computing architectures