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engineering with TensorFlow or similar frameworks Ability to develop Spiking Neural Networks from scratch, including training and quantization Optimize and benchmark applications and models for neuromorphic
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Degree Dr rer nat Course location Bonn Teaching language German English Languages Courses are held in English. Workshops are held in English (80%) and German (20%). Programme duration 6 semesters
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supports all early-stage researchers across Heidelberg University, either pursuing an individual PhD or a structured PhD in the context of a doctoral programme. It is committed to excellence in training and
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generation routing and power distribution network generation for efficient timing closure and sign-off, including signal integrity Optimize design for power, performance, and area (PPA) Contribute to defining
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dehydrogenation with various oxidants. Evaluate concepts, test catalysts, and design and optimize continuous plants. Your tasks in detail: Conceive chemical processes based on thermodynamic principles and
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this exciting field of biomedical research, EpiSignal offers a state-of-the-art interdisciplinary training program at the intersection of cell signaling and molecular epigenetics, that optimally prepares doctoral
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Analytics Software Engineering for Distributed Systems Telematics Theoretical Computer Science Optimal Transport Work on a scientific topic aims to enable the student to understand complex scientific work
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for optimizing existing Mg-RE alloys and will lay the groundwork for the development of digital twins and new RE-free Mg alloy systems. Your profile #a master?s degree in Materials Science, Mechanical Engineering
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the field of natural or (industrial) engineering, informatics, or a related field of study Very good knowledge of energy technology, energy economics and energy politics Initial experience in energy system
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training