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Field
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of computer science, mathematics, physics, electrical engineering or related courses with good to very good grades Programming experience, especially good to very good knowledge of Python Experience with machine
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context What you contribute must have: Studies in the field of materials science, chemical engineering, mechanical engineering, process engineering, energy technology or a related field Enthusiasm for
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learning Solid knowledge of scientific software engineering Expertise in analyzing omics data and/or imaging data Experience in conducting, ideally managing, interdisciplinary projects and communication Your
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reaction Guidance for doctoral students and engineers Data evaluation Independent preparation of publications Presentation of the results at international meetings Collaboration in user support for the ISISS
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initiatives at the interface of biology, AI, engineering and medicine. You will be part of a collaborative and forward-thinking team, contributing to the MDC’s vision of advancing human health through data
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and interpret the results of your test campaigns. Document and present your results within the team. What you contribute You are studying engineering or a comparable discipline. You contribute
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the results of your test campaigns. Document and present your results within the team. What you contribute You are studying engineering or a comparable discipline. You contribute proactively to your team and
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computer vision, as well as knowledge of 3D transformations and camera models Ideally, basic knowledge of rendering engines (e.g., Blender, Unity, or Unreal Engine) or BIM (Building Information Management
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training data for a neural network. Python with PyTorch is used for software development. This project requires expanding the system to larger datasets as well as applying the technology to hyperspectral
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Developing innovative technology solutions and bringing them to application - that is our goal at the Fraunhofer Institute for Photonic Microsystems IPMS . With our expertise in the development