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Field
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experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image analysis / computer vision, ideally
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offers interdisciplinary approaches to biomedical research with a strong emphasis on imaging. PhD projects range from the analysis of basic cellular processes to clinical translation, from the generation
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with python programming, image processing, agent-based systems Ideally, good communication skills in both German and English You are enthusiastic about learning new practical skills, approach unfamiliar
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the aim of developing tools for detecting and imaging lipids. Supported by the Marie Skłodowska-Curie Actions programme, the LipiBRIGHT project aims to train young researchers in lipid biology, new
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imaging systems and ensure the optimal deployment and networking of sensors to efficiently process and analyze the resulting data streams. In this way, we support people in decision-making, process
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computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus on computer vision, image processing
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Chair of Biological Imaging 30.01.2026, Academic staff Researcher (m/f/x) with an engineering or physics background and a motivation to drive the technology towards the market. The lab The Stiel Lab
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scenarios. Develop and maintain production-quality software (primarily Python) to enable AI-assisted research processes across computational biology. Prototype, benchmark, and iteratively improve agentic
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., food processing, bioconversion and fermentation processes) Self-supervised learning for multimodal sensor data (e.g., spectroscopy, hyperspectral imaging, 3D point clouds, and other high-dimensional data
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are designing the technologies and processes for the future of digital production, packaging and scanner technology, and many other laser-based applications, such as 3D printing and laser fusion. Are you looking