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, with at least one year of professional experience; or a PhD in one of these areas with demonstrated expertise in programming and semantic web technologies. Experienced software developer – You have
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subjects, including Programming, Algorithms, Computer Logic and Architecture, Web and Mobile Development, Human-Computer Interaction (HCI), Green and Sustainable Software Engineering, Software Engineering
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environment at the Interdisciplinary Nanoscience Center, where the lab is located. References: [1] A single-stranded architecture for cotranscriptional folding of RNA nanostructures. Science (2014). https
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environment at the Interdisciplinary Nanoscience Center, where the lab is located. References: [1] A single-stranded architecture for cotranscriptional folding of RNA nanostructures. Science (2014). https
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/phd-position-phase-coherent-dat… Requirements Additional Information Website for additional job details https://www.academictransfer.com/359466/ Work Location(s) Number of offers available1Company
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https://www.jobbnorge.no/en/available-jobs/job/298131/phd-candidate-in-spectral… Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent Additional Information Work Location
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 10 days ago
science. Your profile PhD in Computer Science, AI, Human-Computer Interaction, Computational Biology, Software Engineering, or a related field (or MSc with substantial professional experience). Strong
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trustworthy AI for science. At Eindhoven University of Technology (TU/e), you will contribute to the project’s core technical components: scientific data orchestration and knowledge graphs architecture and
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architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators may be either tightly integrated with
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mathematicians, and domain scientists Develop software that integrates machine learning and numerical techniques targeting heterogeneous architectures (GPUs and accelerators), including DOE leadership-class