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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 2 hours ago
, startups and patient partners. Your Mission as PhD is to develop novel machine-learning methods to (1) detect small, clinically meaningful changes in joints, (2) enable robust longitudinal monitoring and
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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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17 Sep 2025 Job Information Organisation/Company Graz University of Technology Department Institute of Machine Learning and Neural Computation Research Field Computer science Researcher Profile
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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
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or Cloud computing and machine learning techniques? You stand out from your peers because of strong commitment and independent work? You are a team player and communicative (excellent oral and written
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or Cloud computing and machine learning techniques? You stand out from your peers because of strong commitment and independent work? You are a team player and communicative (excellent oral and written
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Experience in electroencephalogram and electrospinogram, other biosignals Experience in biosignal processing Experience in nerve stimulation Knowlege in machine learning Very good written and spoken English
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engineering, data science, or related fields Strong programming skills (especially in Python), and experience with simulation, modelling, data analysis, machine learning, and hardware control Solid
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spoken German and English skills Very good computer skills Interdisciplinary knowledge in the field of the dissertation Please enclose written reflections on your dissertation project with your application
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sciences and artificial intelligence, and translate your findings to improve human health? Are you excited to develop and use machine learning approaches to gain new understanding of the molecular physiology