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at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be submitted electronically by
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other relevant stakeholders. The PhD student will contribute to the prototype development, feasibility test and evaluation of innovative cross-sectoral pathways and will be involved in data collection
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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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Professor in the field of microvascular dynamics research and translational non-invasive optical blood flow imaging as per 1 February 2027 or as soon as possible thereafter. The position is an 18 months fixed
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for the treatment of these diseases, with a focus on ion channels. Our work combines in vitro and in vivo model systems, human tissue analysis, hormone secretion assays, electrophysiology, (live) imaging, molecular
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, data management and analysis (under supervision) performing research tasks within the area of classical archaeology, e.g. literature searches and image processing supporting processes in connection with
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take approaches combining mouse developmental genetics, cell-type-specific viral tracing, ex vivo electrophysiology, opto/chemogenetics, in vivo imaging, single-nucleus RNA sequencing (snRNA-seq), and
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of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment
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tracking analysis (NTA), NanoFlow cytometry, and advanced imaging techniques, as well as bioinformatic analysis of small RNAs and transcriptomic data. You will collaborate closely with partners working
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O-PTIR, Raman, and fluorescence imaging methods. Analyze micro- and nanoplastics in biological and environmental samples. Process spectral and imaging data using chemometrics and multivariate