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Requirements: university and PhD degree in physics, biology, engineering, or a related field strong background in quantitative imaging and analysis; prior experience with single-molecule imaging and/or
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further both professionally and personally in an interdisciplinary setting. Position DWI is looking to fill the position as soon as possible: Research Scientist Machine Learning Engineer - AI-Powered Image
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Description The Cluster of Excellence “CUI: Advanced Imaging of Matter”, funded by the German Federal and State Governments, combines projects in physics, chemistry, and molecular biology at
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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interdisciplinary projects. Development, testing, and evaluation of methods and software systems directly on our real test vehicles (see image) for automated driving. Application of modern software engineering
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What you will do You will develop, investigate and optimize processes for the realization of fiber preforms using MCVD technology as well as gas-phase or solution-doping techniques for active fibers
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high corrosion susceptibility of additively manufactured biodegradable Mg and Zn alloys. Host: Helmholtz-Zentrum Hereon
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to the table You are studying computer science, computer engineering, computer visualization or a similar field You are interested in interactive 3D and AI-based systems and ideally have experience with Unity
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applications ranging from next-generation laser technology and precision material processing to laser-driven self-assembly and surgery, all the way to a long-term vision of developing an “Atom Printer” based
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography