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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 2 months 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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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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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | about 14 hours ago
the Medical University of Vienna, the Technical University of Vienna and University of Vienna, the AITHYRA and CeMM PhD programs for both life scientists and computational scientists/machine learning experts
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measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing
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good knowledge of English Ability to teach in German Please include written reflections on your dissertation proposal with your application (max. 1 page) Please include a brief description of your
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bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 28.02.2030 Reference no.: 5059 Among the many reasons to research and teach at the University of Vienna there is one in particular, which
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equivalent fields of study. Position 1: In-depth knowledge in the areas of Biomedical Visualization, Biomechanics, Machine Learning, Development of Server/Client Applikationen, Daten Management. Position 2: In
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analyses, data science, and machine learning Execution of case studies and energy-economic analyses Preparation of project presentations and reports; scientific publications in national and international