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Field
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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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background relevant to the multidisciplinary research of our IMPRS-ML Faculty , including but not limited to Biology, Biochemistry, Biophysics, Chemistry, Computer Sciences, Engineering, Mathematics, and
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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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physics, engineering, environmental sciences, or a relateddiscipline, is required. Basic knowledge and initial experience with experimental working methods (e.g.spectroscopy, laser physics) Fundamental
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Qualifications / Experience: A PhD degree in physics, engineering, environmental sciences, or a related discipline, is required Knowledge and hands-on experience with atmospheric lidars or other atmospheric
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access to the technology Hubs by the SyNergy Cluster of Excellence. These include advanced platforms for single-cell and spatial transcriptomics, high-resolution imaging, multiomics, and neuropathology
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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
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Engineering, Electrical Engineering, or a closely related field Proven research experience and publication track record in robotic manipulation, deformable object handling, or related domains Hands
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technology, communication and artificial intelligence are combined, fostering synergies with the local industry and aiming for close cooperation with the city of Ingolstadt and its partners. With research