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Field
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innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves
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communication and sensor systems. Design, model, and experimentally characterize sustainable antennas and wireless system components for Internet of Things (IoT) and industrial applications. Explore approaches
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computing architectures, replacing conventional structureless and deterministic LIF point-neuron models. This is pursued through circuit designs that exploit and control memristor dynamics (e.g., local
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for this purpose.Your tasks are: Requirements definition, survey and documentation Processing research projects Conception of digital systems and services Development of AI-supported solution approaches Publishing your
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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
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into scientific papers and present data at international conferences We offer: A part-time position with currently 25,89 hours per week Remuneration according to the collective agreement for the public service
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. microscopy, Luna cell counter) User support and expert advice on experimental design, data analysis and interpretation of the results Organization of logistical aspects of the service schedule Your profile PhD
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 12 days ago
. The position is part-time (TV-L 13, 65%) and initially limited to 3 years. Research project Advancements in structural biology and AI-guided protein structure design are providing new insights
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innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves
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electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across modalities for improved spatial resolution and