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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 25 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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per week) PhD-Position: Machine Learning / Medical Imaging (m/f/x) (with immediate effect). This position is offered for a duration of 3 years. Join the AICARD Research Project “Transforming Cardiac
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learning, the candidate will support the research team in designing, implementing, and evaluating prototype solutions that identify instrumentation points and generate and extend instrumentation code and
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; Machine Learning• Clinical pathways and decision support for patients with acute chest pain• AutoPiX – Explainable Deep Learning for Multimodal and Longitudinal Imaging Biomarkers in Arthritis• Speaking
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PHD DEVELOPMENT AND EXPERIMENTAL VALIDATION OF UNDERGROUND SAND-BASED THERMAL ENERGY STORAGE SYSTEMS
cycles. You will contribute to the design, construction, and operation of an upscaled SMTES prototype (20-foot container scale) to investigate realistic thermal behavior, temperature stratification, and
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, Neuroscience, or a related field. Candidates should have strong skills in statistics. Programming skills (e.g., Python) and experience with PET or MRI imaging and data analysis are desirable. Furthermore
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equivalent) in Psychology, Neuroscience, or a related field. Candidates should have strong skills in statistics. Programming skills (e.g., Python) and experience with PET or MRI imaging and data analysis
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Description Start date/duration 01.12.2025 for 4 years Job profile: Your tasks: Dissertation on dwarf galaxies in the field of galaxy formation and evolution Independent research on dwarf galaxies using imaging
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Responsibilities Femtosecond laser spectroscopy of molecules and aggregates inside superfluid helium nanodroplets Implementation of a Timepix3 event-based imaging detector to enable 3D momentum reconstruction Time
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environment with more than 70 researchers active in the fields of computer graphics, computer vision, image processing, visualization, virtual, mixed and augmented reality, and machine learning for visual