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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
insights from cutting-edge imaging and sensing technologies. You will work at the interface of data science, imaging technology and biomedical research, developing analysis strategies for complex real-world
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sciences (i.e. physics, mathematics, computer science, engineering, computational biology) with motivation for crossing disciplines to solve complex biological processes. Experience in Plant Biology and/or
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Candidate (f/m/x) in Computational Imaging Mass
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interaction maps with mammalian cells 2. DNA-based artificial cells and molecular computing We will engineer DNA-based artificial cells and condensates that can sense, process, and respond to molecular signals
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of Anthropology of Science and Technology. The employment contract is limited to 36 months. Where to apply Website https://faircfd.eu Requirements Research FieldPhilosophy » Philosophy of scienceEducation
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"The Martian Mindset - A scarcity-driven engineering paradigm” is a newly funded Cluster of Excellence and was established at the University of Bremen in 2026. In this context, a position is available as soon as
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for autonomous optimization and design of materials, structures and processes Multimodal scientific AI – integrating language, images, sensor data and simulations Alignment for scientific AI – scalable oversight
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architectures for foundation models The work will combine methodological development with large-scale experiments, aiming for contributions at leading machine learning and computer vision venues such as NeurIPS
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for clinical text, imaging, and laboratory data Building and maintaining reproducible experiments, benchmarking pipelines, and analyses Collaborating with clinicians, data scientists, and software engineers
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important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and