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Field
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, multi-modal data, and GPU-accelerated machine learning for materials science. Information We are seeking two highly motivated postdoctoral researchers to join the Horizon Europe project SIMU-LINGUA, a
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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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. The successful candidate will contribute to this emerging field of AI-driven X-ray experimental science through the development of novel X-ray spectroscopic imaging experimental modalities, the design and
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‑cell niche interaction). Multi‑omics Data Generation & Analysis – Lead next‑generation sequencing, mass‑spectrometry, or single‑cell sequencing projects; perform rigorous bioinformatic pipelines
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opportunities for high-impact publications and grant development. Key Responsibilities Perform computational analysis of large-scale omics datasets, including proteomics, transcriptomics, and related modalities
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, modelling and advanced signal analysis to link neural dynamics, cognition and clinical symptoms, working closely with the neurology and psychiatry departments at Grenoble Alpes University Hospital (CHUGA
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity
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separate CTCs from blood. This will include, cell culturing, microfluidic and flow cytometer cell sorting and operation of mass spectrometers (MS), as well as multi-omics data integration and analysis
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Description Applications are invited for a full‑time research contract to support a project investigating eating behaviour and the neurocognitive mechanisms associated with sweet taste, using advanced
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) Working field: • Video-based action recognition for various laboratory animal species (pig, dog, chicken, mouse) • AI-based analysis of well-being • Multi-modal (video, thermography, acoustic, RFID