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., non-invasive brain stimulation) for symptom reduction. Large-scale data analysis (e.g. machine-learning) may be involved. Training will be provided in all methodologies but prior experience with some
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for publication in peer-reviewed journals. Knowledge of or experience handling and managing laboratory animals in accordance with established protocols. Proficiency in computer-assisted data collection, analysis
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/PhD degree with a focus on Metabolism, Mouse Models systems, Human stem cell systems, Biochemical and Molecular Tools, Epigenetics, Genetics, Genomics, Biology, Bioinformatics, Machine Learning, or a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
healthcare professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms
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programming (MATLAB, C++, Python, R, etc.) • Experience with MR physics and/or pulse sequence programming (Siemens or Bruker platforms) is preferred but not required • Experience with machine learning
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ambitious science thrives Human Technopole (Milan) is a rapidly expanding life science institute where international researchers and cutting-edge technologies converge to accelerate biomedical discovery. Our
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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disorders. Assist in developing and validating machine learning-based predictive models using multimodal data (neuroimaging, clinical, biomarker, and demographic data). Support the design and implementation