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advances in our group, including new methods for detecting learning signals in linear networks that reveal aspects of the tasks they have learned, provide a powerful conceptual starting point. The scope
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, or materials informatics. Familiarity with explainable AI or counterfactual explanation methods. Experience with molecular dynamics data, graph neural networks, or multi-component system modelling. Track record
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-efficient digital AI/ML accelerator for real-time transmitter error correction in high-speed RF systems. Co-design and validate on real silicon. Job description Wireless networks are becoming increasingly
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researchers and practitioners in fields such as economics and engineering to solve complex problems significantly faster. Where to apply Website https://www.academictransfer.com/en/jobs/358369/postdoc-in
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validation. Within the PRECISE consortium, you collaborate with a multidisciplinary national network. You contribute to genotype-specific target validation, participate in the PRECISE Early Career program, and
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webpage: https://www.eur.nl/en/erim/erim/journal-list . Your work will also be published as a PhD dissertation. Cooperation To strengthen your international research network and complement your time at RSM
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will be part of a leading team in network data science within the Multimedia Computing Group (MMC) in Computer Science. We share a drive to understand and optimize complex systems ranging from social
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Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component
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symptom networks; and Preferred skills in programming, quantitative analysis, and handling complex datasets. Strict MSCA eligibility requirements: You must not hold a doctoral degree at the date
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something for you! Information How can we selectively convert complex lignocellulosic biomass into high-value platform chemicals with high efficiency and minimal waste? Achieving this demands innovative