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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 9 days ago
5 Nov 2025 Job Information Organisation/Company Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy Research Field Computer science » Modelling tools
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of this research is to develop structure-property relationship models that can either identify suitable candidates within the existing library or suggest structural motifs for synthesising undiscovered surfactants
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comprise all aspects of applied mathematics, from model development and mathematical analysis to numerical implementation and statistical estimation of models as well as software packaging. What to expect
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Again – AI-driven Voice Restoration for Pathological Speech• Machine Learning and In Silico Modeling of Sex Differences in Temporomandibular Joint Function• AutoPiX – Machine Learning for Imaging-Based
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they will investigate novel Cloud and Edge techniques that are built based on Java, Python and C++. The particular research topics of interest include• application development platforms• programming models
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Vienna, 01.09.2025 We are seeking a highly motivated PhD student with a strong background in molecular biology, cell culture and cancer mouse models. Prior experience with single-cell RNA sequencing (scRNA
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Description Your Responsibilities Participation in one or more research fields of the institute: Material modelling of e.g. fresh concrete, soil, biological tissue (aorta, skeletal muscles) Numerical
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knowledge of digital methods, particularly in the areas of geometric modelling, architectural and structural simulation and materialisation at various scales Interest and proven skills in digital and manual
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engineering, environmental engineering) In-depth knowledge of: Geotechnics, numerical calculations with discrete element method, model tests, laboratory tests, geotechnical measurements, natural hazards, mass
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a comparable field of study Modelling experience in the field of water supply or drainage systems and/or data-based models desirable Knowledge of urban drainage, nature-based solutions (NBS), water