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of Convolutional Neural Networks (CNNs) and Spiking Neural Networks (SNNs), with a strong emphasis on deploying these models on hardware-constrained edge platforms. The position focuses on developing robust
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investigate and develop innovative memory solutions in advanced CMOS technologies such as FDSOI. The development of integrated circuits also plays an important role in making these networked devices and their
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investigate and develop innovative memory solutions in advanced CMOS technologies such as FDSOI. The development of integrated circuits also plays an important role in making these networked devices and their
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investigate and develop innovative memory solutions in advanced CMOS technologies such as FDSOI. The development of integrated circuits also plays an important role in making these networked devices and their
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strategies individually and in cooperative work Self-assured and determined manner with good communication skills for a convincing presentation, even in complex technical contexts Strong and open communication
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testing as well as micropumps. The close collaboration between our experts not only creates groundbreaking innovations, but also synergies that enable Fraunhofer EMFT to effectively master the complex
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the integration of both Convolutional Neural Networks (CNNs) and Spiking Neural Networks (SNNs). This position will involve training and optimizing these neural networks using Python frameworks, including CUDA
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control of decentralized, local energy systems for network integration. One of our main research interests is cross-sector applications with hydrogen systems. On the control side, our current research
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domain are inherited by biometric systems. Such challenges are related to miniature deep learning networks, explainable decisions, and domain adaption. Our team is offering several open thesis positions
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the manufacturing of customer-specific solutions and prototypes. The department »Opto-mechatronical Components and Systems« develops technologies for assembling and integrating complex, miniaturized and highly