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- <span lang="en">Institute of Molecular Biology gGmbH (IMB)</span>
- <span lang="en">International Max Planck Research School for Chemistry and Physics of Quantum Materials</span>
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publications. The successful candidate should have experience in large-scale analyses of protein-RNA interactions. Experience applying deep learning to genomic sequence data, including fine-tuning of
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modelling satellite imagery and textual conflict data. Advances in vision-language representation learning will be explored to link the two sources of information through alignment pipelines, localisation
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consequences of genetic variation in selected IDPs in yeast cells. This will require developing and integrating multiplexed assays to uncover sequence–function relationships and map the cellular
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with interventional MRI procedures. Evaluate MRI scans for technical quality, collate processed images in sequence of exposure and appropriately label. Film/transmit to PACS. Charge procedures and
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relevant decision-making. The candidate will contribute to the development of foundation models for sequence data and patient trajectories, representation learning approaches for microbial genomes and
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. This position is responsible for leading and coordinating high-priority initiatives, managing cross-functional projects, supporting divisional planning efforts, and ensuring alignment across Advancement
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charge-density-wave order. The project will establish how composition, defects and chain alignment determine vibrational, optical and carrier-dynamic properties in single crystals and orientation
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candidates using structural, biophysical, and sequence-based criteria. Collaborate with wet-lab colleagues on cell-based validation assays. Integrate experimental data into iterative design-build-test
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mechanistic understanding of protein and peptide assembly into ordered (fibrillar, crystalline) and disordered (amorphous, liquid droplet) condensed phases and of the physico-chemical factors and sequence
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alignment. This leader serves as the primary executive responsible for practice acquisitions, professional services agreements (PSAs), joint ventures, and other innovative affiliation models that advance