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parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as
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to explore related topics in Parameterized/Fine-grained complexity or Theoretical Computer Science at large. Your job In algorithm design, the paradigm of decomposition is omnipresent. In the 5-year ERC
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using multimodal approaches including advanced imaging, nano-mechanical characterisation and machine learning techniques Developing physics-informed reliability models using experimental datasets
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 21 hours ago
opportunities for cutting-edge research projects. Students benefit from the extraordinary infrastructure enabling all types of cognitive neuroimaging experiments. The IMPRS CoNI covers all major imaging and
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Differentiate iPSCs into midbrain dopaminergic neurons and organoids for phenotyping and compound testing High content imaging and automated image-analysis Analyze omics data Collaborate closely with
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neuroanatomy, neuroscience or a related field, and enjoy analysing neuroimaging data, scripting and data analysis? And are you passionate about medical imaging and its potential to improve our understanding
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Your Job: At the Electrocatalysis department of Prof. Karl Mayrhofer, we offer a PhD position within the team Nanoanalysis of Electrochemical Processes. Lead by Dr. Andreas Hutzler, the team is
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lining of blood vessels— which plays a central role in the development of vascular diseases. Blood vessels further complicate this picture through their complex geometries, featuring diameter variations
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imaging, to develop new approaches for understanding how animals perceive and respond to complex environments. Modern zoos must balance animal welfare and natural behaviour with husbandry practice, visitor
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
science as part of the ERC Starting Grant project Incorwave, which aims to develop advanced numerical and mathematical methods for passive seismic imaging. The research will focus on two key-directions: (1