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-of-the-art computational methods to investigate the genetic mechanisms underlying neurodevelopment and neurological disorders by integrating single-cell genomic and multi-omic datasets. You will work as part
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Description As part of the ANR PULPITOMIC project, the postdoctoral researcher recruited will be responsible for carrying out experiments aimed at identifying, using broad-spectrum (-omics) methods
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systems, multi-scale modelling of pavement materials and structures, reuse of materials, structures and parts of structures, assessment methods for structures, smart monitoring techniques, design methods
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, conventional aliquot analysis, calorimetry methods and other methods. In addition, the isolation of key catalytic intermediates and investigation of their reactivity will be targeted. In the area of
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, glucose tolerance tests, tissue collection). Be motivated to learn and apply advanced mass spectrometry approaches or novel microphysiological methods. Possess or be willing to develop coding skills (R
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science, spatial analytics, or a related field; experience with diverse spatial analytical methods; strong programming skills (e.g., Python) and version control (e.g., GitHub); experience working with multi
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
-on experience, the fellow will develop advanced skills in: Clinical trial design, implementation, and analysis. Epidemiologic and quantitative research methods. Scientific writing and peer-reviewed publication
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will also include work that aims to understand how human behaviour may change with temporal reasoning ultrasound AI tools. Thus, the work will involve both computational methods research and
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echocardiography dataset called CAIFE consisting of both healthy and abnormal fetal heart scans. You will be responsible for the design and testing of original machine-learning based methods for fetal heart
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methods for disease prediction, precision medicine, and clinical decision support. Applicants must have a Ph.D. in biomedical informatics, computer science, data science, biomedical engineering, statistics