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/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 packages
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Junior Research Group “Developmental Origins of Pediatric Cancer” is seeking from September 2025 a Bioinformatics Data Engineer
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, imaging and material characterization applications (THz sensor technology) Leadership position for the “THz Components & Systems” lab at the Ferdinand-Braun-Institut, Leibniz-Institut für
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Computer Science, Artificial Intelligence, Materials Science, or a related field Strong programming skills in Python, ideally with experience in image processing and deep learning using PyTorch or similar frameworks
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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Profile: University degree (M.Sc., diploma or equivalent) in materials science, engineering sciences, or physics Experience in at least one of the methods of X-ray imaging, transmission electron microscopy
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would like to commit themselves, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Communication Technology
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advances to support life science research. EMBL has been at the forefront of numerous engineering and microscopy breakthroughs, significantly advancing imaging technologies and enabling new biological
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, pharmaceuticals and vaccines, molecular and immune diagnostics, as well as other innovative fields. We are home to scientists, engineers, laboratory technicians, and administrative staff who all dedicate their work
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for calculation and design Design and optimization of a flexible oxygen supply Optimization of the pilot plant based on test and simulation results Development of design and process engineering solutions