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process, identification of parameters, variational modeling, and generative machine learning methods; see https://imsc.uni-graz.at/mr-dynamo for further details. As part of this research effort, we invite
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microenvironmentMachine Learning for treatment response monitoring of glioma patientsBest practices in ML-workflows for medical imaging in case of small training sample sizesIntegrating PET/MR Imaging Parameters with
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matter and computer simulations. Knowledge on programming is essential. Experience in using simulation packages will be appreciated. Excellent command in written and oral English (C1) Team player and high
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leveraging advanced computer vision and deep learning-based pose estimation from football match footage to analyze pre-injury biomechanical patterns and joint load dynamics. The research aims to create
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., lipases, esterases, ferritin, and silicases) to achieve controlled degradation of materials used in micro/nanorobots. Cutting-edge approaches, including de-novo design, computer-aided enzyme redesign using
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the infrastructure and organization in the area of teaching and research Your ProfileAdmission Requirements Completed master's or diploma degree Prerequisite fields of study: Computer Science, Information and Computer
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sequencing, ATAC-seq, CHIP-seq, analysis: RNA velocity, Scenic, scFates) Excellent technical skills: confident use of one computer programming/scripting language (R, Python), competent in working in a Linus
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sequencing, ATAC-seq, CHIP-seq, analysis: RNA velocity, Scenic, scFates) Excellent technical skills: confident use of one computer programming/scripting language (R, Python), competent in working in a Linus
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for measurement and analysis. The Institute has a powerful IT infrastructure, including modelling software, GIS applications and an in-house computer cluster for data-driven simulations. In addition, a wastewater