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for society. DTU Health Tech's expertise spans from imaging and biosensor techniques across digital health and biological modelling to biopharma technologies. The department has a scientific staff of about 210
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administrators, and currently consists of seven research groups led by the individual PIs in close synergy. The Center hosts in total approximately 20 PhD students, postdocs, and visiting scientists. Several
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Cosmological Paradigm” funded by an Inge Lehmann grant from the Independent Research Fund Denmark. Qualifications Applicants should have a master’s degree in physics or related topic or expect to obtain one
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Professors, a Lab Manager, two administrators, and approximately 10–15 PhD students, postdocs, and visiting scientists. Several POLIMA researchers have attracted prestigious grants, e.g., Villum and Novo
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imaging. The project is collaborative, involving national and international partners including Jean Farup (Steno Diabetes Center Aarhus), Lasse Steffensen (University of Southern Denmark), Johan Lind (DTU
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technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural
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. The center offers a stimulating and diverse working environment, comprising around 60 people (with about 23 nationalities) including faculty members, PhD students, postdocs, engineers and administrators
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through online surveys and interviews, prototype development for accessible setup and operation of nanoservers (both on web and mobile platforms), and longitudinal evaluation of the prototypes through live
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competent users of neutron facilities. The digital twins will allow students to perform virtual experiments. ACCESS will make digital twins for ESS instruments on imaging (ODIN), inelastic scattering (BIFROST
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development of the multimodal neuromonitoring system. Tasks will include: Integrating a discrete impedance measurement prototype into an existing in-ear earpiece equipped with an EEG sensor. Conducting clinical