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Requirements Applicants must hold a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, or a closely related field. A strong research background and programming experience
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thatintegrate river network information, creating a hydraulicallyinformed AI approach that pushes the boundaries of streamflowestimation. QualificationRequirements: Appointment as Postdoc
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possible thereafter. The successful applicant will join a vibrant research environment led by Prof. Nils J. Færgeman. The group currently consist of academic staff scientists, postdoctoral fellows, PhD
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Foundation RECRUIT grant ("Data Management, Algorithms, & Machine Learning for Emerging Problems in Large Networks – with Interdisciplinary Applications in Life & Health Sciences". NNF22OC0072415
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high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In
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partnerships with clinicians. Together, these initiatives provide ample opportunities for the recruited postdoc to build networks, establish collaborations, and advance their career development. To learn more
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Learning for Emerging Problems in Large Networks – with Interdisciplinary Applications in Life & Health Sciences". NNF22OC0072415). The position is open for appointment from Feb 1, 2026 or soon thereafter
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and AI-based models to uncover key regulatory networks underlying inflammation, aging, and regeneration Collaborate closely with experimental biologists, clinicians, and computational partners in
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Blake Hallinan, three PhD researchers who will each focus on one of the industrial sectors, and this postdoctoral research position, as well as an international network of advisors and collaborators
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knowledge on multi-actor collaboration, networking and bridging, the applicant will conduct ecosystemic analysis and initiate interventions, measure synthesis, dead-ends and resistance and, in comparison with