20 assistant-professor-and-human-computing Postdoctoral positions at University of Southern Denmark
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Science at SDU offers a dynamic research environment, comprising two full professors, one associate professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong
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, under the supervision of associate professor Bryan Yazell (IKS) as well as professors Patricia Wolf and Søren Askegaard (Department of Business and Management). The position is located at SDU’s campus in
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Professor Karl Attard (karl.attard@biology.sdu.dk ) or Professor Frank Wenzhöfer (frank.wenzhoefer@awi.de ). About Nordcee We’re an international and diverse group of researchers who are passionate about
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. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power electronics, and self
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community with an open Scandinavian culture, affordable housing and living costs. Further information about this position is available from Assistant Professor Benyamin Khoshnevisan bekh@igt.sdu.dk or Head
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the laboratory of Dr. Sanjeeb Kumar Sahu, Assistant Professor in Translational Biomedicine . IMM is a leading interdisciplinary research center focused on understanding human biology and disease, with key
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technology development. Further information For further information about the position, please contact Associate Professor Mahyar Tourchi Moghaddam (email: mtmo@mmmi.sdu.dk ) or Assistant Professor Mina
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contribute to the teaching activities of the section of Mechanical Engineering by teaching 1-2 courses per semester. You will focus on developing and extending in-house computational codes based on open-source
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for mothers with postpartum depression. The candidate will also contribute to data integration and scientific writing, and help disseminate findings. There is no mandatory teaching in connection with
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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection