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engineering methods (e.g., via CRISPR). Plan and execute experiments to probe robustness of tissue morphogenesis, particularly through quantitative imaging and large-scale molecular profiling (e.g., via scRNA
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. Here you partly work on your tasks on-site in our institute/ machine park. What you will do Analyze acquired microscopic and video tool wear data Investigate image processing techniques such as spatial
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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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prototypes in the field of medical technology and pharmaceutical production. Initially, these are conceptualized as CAD designs, then built and evaluated. Data analysis and process modeling are subsequently
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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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are shaping the technologies and processes for the future of digital production, packaging and scanning technology and many other laser-based applications, e.g. 3D printing and laser fusion. Are you looking
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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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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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evaluation of the feedback process by measuring the code improvements achieved through the feedback and comparing them with a baseline. What you bring to the table Currently pursuing a degree in engineering
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to adapt. Your tasks Given the paradigm shift in marketing of searching products from search engine to direct recommendation from Chatbot based on Large Language Models (LLMs), we’d like to explore following