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thus continuous aspects, into rule-based models of graph transformation in order to combine the individual strengths of both paradigms. Rule-based models are transparent and explainable; they make sense
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experimental and observational studies (e.g. using field, lab, remote sensing data) along environmental gradients to increase understanding of how different types of forest management (e.g. continuous cover
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; they make sense to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project
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transmission and processing for remote actuation. The proposal targets two interdependent challenges: the inherent complexity of end-to-end information flow spanning sensing, computation, communication, and
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circuit design and collaborates closely with major semiconductor companies and academic research organizations worldwide. Feel free to read more about the division here: https://liu.se/en/organisation/liu
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in advanced circuit design and collaborates closely with major semiconductor companies and academic research organizations worldwide. Feel free to read more about the division here: https://liu.se/en
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. CV:(Please name the document: CV, Family name, reference number) • CV • Two references that we can contact (feel free to include letters of recommendation in the application). Personal letter:(Please
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with major semiconductor companies and academic research organizations worldwide. Feel free to read more about the division here: https://liu.se/en/organisation/liu/isy/elda . To learn more about the