91 software-defined-network-phd Postdoctoral positions in Ireland-University-Ranking-2024 in Denmark
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are software representations of physical assets, processes, or systems. They leverage real-time data to mirror the behaviour and characteristics of their physical counterparts, enabling predictive maintenance
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
software studies, and it analyses how GenAI is interfaced (SP1), how GenAI creates new relations to archives (SP2), experiments with prototyping alternative interfaces to GenAI (SP3), and utilise artistic
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these methods across different crops to identify conserved patterns of stress resilience 4. Identify candidate genes associated with key agronomic traits related to resilience 5. Contribute to software and web
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, and a special interest in IBD. The ideal candidate has: A PhD in bioinformatics within the field of IBD Has demonstrated expertise in working with registry data as well as genomic, microbiomics and
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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
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knowledge exchange activities with public authorities and industry stakeholders. Contributing to teaching and supervision of students at the bachelor's, master's, and PhD levels. Qualifications We are seeking
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beamline and its experimental workflows Promote the SCS through outreach activities and engagement with academic and industrial partners across Scandinavia Collaborate with beamline scientists, software
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identifying ecological and functional connections between environmental and host-associated microbiomes. The postdoctoral researcher will work closely with a PhD student and an international network
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perform phenotyping. In addition, you will utilize mass spectrometry (metabolomics, proteomics, chemical biology) to define metabolic targets. You will be the primary driver of the project, working
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for a researcher who can work independently with complex longitudinal data, contribute to a clearly defined publication pipeline, and engage in methodological discussions within a collaborative research