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Field
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student majoring in computer science, artificial intelligence, image processing, or a similar field, and are looking for an internship in accordance with your examination regulations You have an analytical
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hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research
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(Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number S-646 Is the Job related to
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
beyond the reach of state of the art approaches. Working at the interface of physics, biology, chemistry, and engineering, you will design and build innovative imaging instrumentation and analysis
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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characterization of a prototype hardware setup What you contribute You are a student in the field of computer science, photonics, physics, engineering or a similar study program. You have basic knowledge of working
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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing
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. Your Profile: The successful applicant must have the following: • M.Sc. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or a related discipline
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fundamental and translational aspects of infectious disease (germfree/gnotobiotic animal facility, organoid cultures, T-cell engineering via CRISPR/Cas9 technology, in vivo imaging, animal models, microbiome
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 5 hours ago
organoid culture methods. Experience in computational analyses of proteomics or single-cell sequencing datasets. Experience in microscopy and image analysis. Effective collaboration in interdisciplinary