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candidates worldwide. Applicants must hold a relevant master’s degree for their chosen PhD project and meet MedUni Vienna’s official admission criteria. Research experience or familiarity with specific methods
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developing imaging methods allowing to visualize molecular processes inside organisms, tissues and cells. With the help of imaging, we perform cutting-edge research in vascular, inflammatory, infectious
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Systems. For this, we apply a combination of methods from both Physics and Mathematics, complemented by concepts from Theoretical Computer Science. Our research group is located jointly at the Faculty
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)Informatics/Data Science or related disciplines is desirable. The positions focus on the development and application of new methods to predict multi-omic traits and phenotypes from large genetic datasets. More
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key component of the project will also explore general metabolite-mediated signaling in the aortic endothelium, aiming to identify novel molecular pathways involved in vascular inflammation and
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quantitative image analysis, numerical modeling, and explainable AI (XAI) with state-of-the-art biophysical methods. Using techniques such as traction force microscopy, microfluidics, 3D bioprinting, and
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for replication timing and directionality, GRO-seq for nascent transcription, and DRIP-seq for R-loop detection. These methods allow us to integrate replication, transcription, and DNA repair features at nucleotide
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materials, (2) Battery materials, (3) Quantum materials, (4) Semiconducting materials, (5) Artificial intelligence materials, (6) Metal and inorganic materials, (7) Organic materials, (8) Biomaterials, (9
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
technologies to study cell signaling and protein modifications providing an essential element of the glycocalyx-focused research at CGR. As such, our core resources include proteomic, glycoproteome data and
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of nanoparticles. Important part of project is aimed on design of environmentally friendly methods for selective sorption of lanthanides from complex waste mixtures using advanced materials. This research will be