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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 16 hours ago
mechanism in many diseases. However, current computational approaches remain largely limited to static representations of biomolecules, limiting our ability to fully understand conformational heterogeneity
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of data scientists, software engineers, and experimental researchers on topics including: Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM
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Supervisor: Dr. Kamila Maria Jozwik, Jozwik lab PhD fees status: Home fees only (https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status ), 4 years Start date: October 2026 The
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will investigate how visual and radiological sensing and characterization can be combined into a unified digital representation, exploring how nuclear detectors, via gamma cameras and regular nuclear
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input (e.g. affordable 2D/3D data and surface scans) by generating anatomically faithful, patient-specific 3D/4D representations from simple measurements such as X-rays and surface scans. Within ELEVATE
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such as Machine Learning, Natural Language Processing, AI in Education, Knowledge Representation, and Python-based analytical seminars at the BSc, MSc, and PhD levels. Responsibilities include assisting in
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Description Probing neural representations of speech, in parallel with experimental phonetic analysis of the same data (collected in the field); placing the results in the context of linguistic typology. In
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Stipend/Integrated Stipend in representation, compression
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PhD Stipend/Integrated Stipend in representation, compression, learning, and inference for classical and quantum data. At the Technical Faculty of IT and Design, Department of Computer Science, one
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, to create a unified and reliable representation of structural integrity. The work expands on TU/e’s contributions by developing algorithmic components for detection and classification of defects and anomalies