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Field
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via GitHub repository) in statistical analysis and modelling using R or Python with open source code Experience with high performance computing environments, particularly Digital Alliance Canada
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Science Foundation. RTG themes include modeling in cancer biology, computational neuroscience, and mathematical epidemiology. Mathematical techniques include qualitative and numerical analysis
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opportunity to work within a multidisciplinary team that includes world experts in psychology, clinical neuroscience, statistics, patient-clinician communication, and cancer survivorship care. The post-holder
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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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14853, United States of America [map ] Subject Areas: Nutrition Data Science Bioinformatics / Clinical , Computer Science , Mathematics , statistics Public Health Medicine (more...) Epidemiology Salary
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conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a related field together with strong programming skills in Python, R
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Qualification requirements A master’s degree in a relevant discipline (e.g., statistics, mathematics, informatics, genetics, medicine, psychology, or an equivalent field). Strong expertise in statistical genetics
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develop the research line. Colourbox via Unsplash Colourbox Qualifications You must have a relevant PhD, preferably within statistical genetics, ´omics, molecular biology, computer science, medicine
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repository and computer servers. Run existing PET/MR brain image processing pipelines on the computer servers, produce the results, and communicate with the group members. Write computer codes for the above
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model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction