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-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently
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. The scope of the research will encompass aspects such as network monitoring, routing algorithms and network-hardware benchmarking. About you You should possess a MSc/MEng in Engineering, Computer
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modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
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) and the University of California Irvine (UCI). The Research School "Foundations of AI" focuses on advancing AI methods, including energy-efficient and privacy-aware algorithms, fair and explainable
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developing new methods and techniques that will improve standard ML algorithms so as to achieve good performance outside their training distribution, by treating high-dimensional problems as an explicit
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: Engineering / Biomedical Appl Deadline: (posted 2025/06/30, listed until 2025/12/30) Position Description: Apply Position Description We seek a highly-motivated individual to pursue neural engineering research
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, signal and information processing, and spectral analysis. Contribute to algorithm development and software improvements through fundamental and applied research, prototyping, validation, integration, etc
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, spinal cord injury etc) through real-time neural control of wearable robotic exoskeletons. You will be developing next-generation (low and high-level) control algorithms for wearable exoskeletons that use
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
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of Europe’s most vibrant hub for artificial intelligence research. A list of concrete potential projects: Development of modern auto-differentiation (JAX-based) physics simulators for the discovery of new