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Field
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. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a focus on applications, and training methods - across
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2026 Details Speech is a highly variable signal that is often recorded in complex environments and under sub-optimal conditions. The information contained in a recorded speech signal is not limited
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other things, cell programming and patterning. Current methods for hormone-induced regeneration in tissue culture often give limited and unpredictable results. Even in optimal conditions only a few cells
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. You will gain expertise in experimental acoustics, advanced numerical modelling, sustainable building technologies and performance optimization. Are you motivated to take a step towards a doctorate and
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design. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework described above Design, test, and optimize novel
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of exploiting the synergies between different research disciplines and technologies. You will be part of an endeavour to optimize and boost innovation and advance the scientific area of biomedical and neural
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to develop scalable and energy-efficient AI accelerators for resource-constrained IoT and networked systems through joint optimization of AI models and emerging hardware architectures. Topics will include: AI
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promising technology for producing large and complex metal component. Although its potential has been widely demonstrated, significant challenges remain in optimizing the process to ensure the quality
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the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we are able
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: Public University of Navarra (UPNA), Pamplona, Spain Supervisor: Prof. Dr. David Astrain Focus: refrigeration efficiency optimization Background: mechanical engineering, energy systems, or a closely