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? 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. Your work will help shape environmentally
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want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
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collaborate with an interdisciplinary team of researchers consisting of Clara Ekerdt, Guillen Fernandez, Gabi Janzen, Evan Kidd, Kristin Lemhöfer and James McQueen. This team have been working on a large-scale
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large variety of courses, training opportunities and conferences. Radboud University is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such
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large variety of courses, training opportunities and conferences. Radboud University is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such
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spectrometry-based techniques. These applications cover a wide range of areas such as pollution monitoring, bio-medical applications, the agri-food industry, and emission/exposure measurements. We have a large
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(crowding, concentration of nutrients, size of liposome, etc.) with gene expression levels across a synthetic genome. To achieve this aim, you will use VASA-seq and Ribo-Seq to generate large data sets