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Chemopleth 1.0 as ground-truth training data. Two methodological pillars anchor the role: computer-vision pipelines for image registration and segmentation that bring raw 3-D imaging into the atlas framework
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PhD candidate, you are expected to bring your own creativity to the challenge: How can image-based AI analysis reveal drug effects? How can mechanistic computational models develo on spheroid morphology
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environment within the laboratory, including imaging and irradiation platforms (BioALTO, TWAC, Institut Curie Orsay, Institut Gustave Roussy), - data analysis and image processing tools (notably CPBM at ISMO
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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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the most important, as a small change can be the difference between normal and pathological. We want to understand this bias and correct it. This is a fully funded position (TV-L E13, 100%) for a PhD student
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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. This highly innovative project aims to develop a fully AI driven digital twin that enables real-time optimization and control of fermentation processes. The candidate will develop the digital twin for microbial
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will be integrated into the TIFUUN instrument, a new superconducting imaging spectrometer for terahertz astronomy. Beyond laboratory development, you will actively participate in the commissioning and
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Help build the systems that will electrify industry Industrial energy systems are about to change fundamentally. For more than a century, industrial processes have been designed as isolated
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the viewpoint of the social and philosophical studies of science. About the FairCFD project Over the past seven decades, Computational Fluid Dynamics (CFD) has enabled increasingly efficient industrial processes