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IRCM - Cancer Research Institute of Montpellier | Montpellier, Languedoc Roussillon | France | 3 months ago
fusion, and medical image analysis methods to improve cancer prognosis prediction in an objective and interpretable way. Our work centers on the computational treatment of medical data in oncology, with a
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to join an interdisciplinary project at the interface of single-cell genomics, data integration, and developmental biology. The project focuses on the integration and analysis of multi-modal single-cell
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imaging modality. Preferred Qualifications: Work Experience: Preclinical MRI MRI pulse sequence development and optimization Quantitative MRI analysis Image reconstruction and image processing using Bruker
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The successful candidate will have extensive experience with bioinformatics (the analysis of bulk and single-cell high-throughput datasets) and will contribute to a research program investigating
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patterns, identify changes in behavior and potentially unsafe events, and support safer and more independent living. Approaches may integrate vibration-based and multi-modal sensing, structural dynamics
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), HCP, ABCD, ENIGMA, as well as data from local clinical trials and observational studies (e.g., UMMS EHR data). · Clinical trial design and analysis using advanced statistical methods
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-quality requirements, and analysis-ready data structures. Develop machine learning models that integrate multimodal experimental and simulation data. Contribute to the development of Crucible Data Platform
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or particle Physics, or a related field, A strong background in either nuclear structure, electron-scattering theory/experiment, or global data analysis, Demonstrated expertise in scientific computing and code
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Description Advertised Job Summary An NIH-funded postdoctoral position to work under limited supervision on research examining the effects of dietary patterns on salivary proteome and taste processing. Position
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& Responsibilities Review literature, conceptualize hypotheses, design and conduct experiments, analyze results, and publish in peer-reviewed literature. Build bioinformatic pipelines for analysis of genomic