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to make viable trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with
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trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By
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-learning energy trading algorithms that are able to cope with these challenges. By leveraging real-time data, developed algorithms continuously adapt to market dynamics and respond to changing market signals
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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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focus will be on developing compact, efficient, and real-time LLM algorithms/hardware on the edge and developing demos for specific applications such as speech disorder therapy. Your responsibilities will
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the opportunity to contribute to a growing European research infrastructure and to develop innovative new tools and methods. You will join an international team that currently consists of 8 other members of staff
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Postdoctoral researcher for developing microfluidics for research on synthetic cells Job description In this project we will use the excellent microfabrication facilities of the Kavli Nanolab
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to staff position within a Research Infrastructure? No Offer Description Postdoctoral researcher for developing microfluidics for research on synthetic cells Job description In this project we will use
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is to increase donor organ utilization through merging cell therapy techniques with state-of-the-art organ perfusion strategies. PhD project The aim of the PhD project is to develop and implement a
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of computer science; You’re enthusiastic about (and ideally experienced in): inference algorithm development and evaluation for statistical computing and machine learning; applications of statistical computing and