22 electron-paramagnetic-resonance Postdoctoral research jobs at University of Southern Denmark
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position as postdoctoral researcher for 2 years in the area of computational nanophotonics, with a focus on semi-analytical and numerical methods for treating electron-beam spectroscopies. We are looking
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. The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Applications must be submitted electronically
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Danish-speaking applicant, please ensure that you use the English website to access the electronic application form to receive further information in English. About the department The Department of Culture
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Professor Mahyar Tourchi Moghaddam (email: mtmo@mmmi.sdu.dk ). If you experience technical problems with the online application process, please contact SDU’s HR support at hcm-support@sdu.dk . Conditions of
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an integrative approach involving protein structure prediction by AlphaFold 3 combined with crosslinking/mass-spectrometry and single particle cryogenic electron microscopy on native or recombinant TZ complexes
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on perinatal mental health, child and adolescent psychiatry, and early intervention research. Further information For further information please contact Professor Trine Munk-Olsen, email: tmun@sdu.dk or phone
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for applications is August 10, 2025, at 23.59 hrs. CEST Application Applications must be written in English and be submitted electronically using the “Apply now” link below. Applications must include: A letter of
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these qualifications are also encouraged to apply. For further information about the position, please contact Prof. Søren Krogh Andersen, SDU (email: skandersen@health.sdu.dk ; phone: +45 6550 4957). Applications must
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encouraged to apply. For further information about the position, please contact Prof. Tobias Neher, SDU (email: tneher@health.sdu.dk ; phone: +45 6550 7659). Applications must include: A letter of motivation
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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