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The candidate will develop and benchmark zero-shot multimodal fusion models for rare disease prediction, using melanoma as a use case. The project integrates spatial and single-cell multi-omics data with
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the biological mechanisms that drive tumour initiation and subsequent growth holds significant promise for improving patient outcomes. This PhD project explores the novel concept that cell fusion between two
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28th September 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in information fusion and data assimilation for ocean space utilization
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CNRS Earth & Universe institutes). The laboratory is recognised for its research activities in the following areas: • Plasma physics and fusion, particularly via magnetic confinement, in close
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laser beams, in the context of future laser fa-cilities for inertial fusion. It will be carried out within the theory group TIPS (Theory, Plas-ma Interpretation & Simulation), in close collaboration with
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This project addresses a fundamental question in digital twin development for fusion energy systems: the relative roles and limitations of physics-based models, experimental data, and AI-driven
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: automating information extraction from unstructured data, proposing a common representation of multi-source data, developing data fusion and knowledge enrichment methods, automatically detecting anomalies, and
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, there is an urgent demand for accurate data on ion-beam collisions with atomic and molecular targets for the development and maintenance of fusion reactors, treatment planning in hadron therapy, and
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fusion with cellular or endosomal membranes, has led to major advances in this field, culminating in the development of mRNA vaccines against COVID-19. The objective of this PhD thesis is to develop a
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manufacturing, laser engineering and robotics Physics of materials, structures and dynamics, biomechanics, welding and structural performance Nuclear fission, fusion, nuclear fuels and graphite and nuclear policy