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Field
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) in electrical engineering, biomedical engineering, computer science, engineering physics, hearing technology, or a related discipline excellent grades in digital signal processing and machine learning
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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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and scientific work by students Your profile: Successful degree (Master's, Diploma) in the field of computer science, software systems engineering, automation engineering, digital technologies
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collaboration in research networks Your profile PhD in Bioinformatics, Computational Biology, Systems Biology, or a related discipline Experience in multi-omics data analysis and handling big data Experience with
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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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development and deployment of the technology will ensure EU's leadership in the exploration and exploitation of deep space, the next commercial space frontier. The program is designed to achieve the following
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of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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The DFG-funded Research Training Group “Mixed Ionic-Electronic Transport: From Fundamentals to Applications” ( www.grk2948.uni-heidelberg.de ) is an interdisciplinary structured doctoral program at
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to advancing machine learning in biomedicine. The Program focuses on developing and applying cutting-edge AI approaches to address key challenges in molecular biology, clinical research, and translational