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research grants in the above areas Job Requirements: A PhD degree in Computer Science, Data Science, Engineering, or a related field. Research experience in Computer Vision, Image Processing, Multimedia
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 7 days ago
administrative data, survey data, and qualitative data gathered from fieldwork and interviews. Conduct high-quality research within the framework of the project, including the design, collection, and analysis
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sequencing. Assist in the implementation of analytical pipelines for large-scale omics datasets, including next-generation sequencing and array-based datasets, with a primary focus on methylation data analysis
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should have: PhD in computer science, software engineering, Embedded Systems, Artificial Intelligence / Machine Learning, data science, or closely related disciplines or significant practical/industrial
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genetics-oriented focus. The PhD fellow will work with large-scale longitudinal and family-based data, including genomic data, population registers, and cohort studies, to investigate how genetic
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Must provide: CV; cover letter highlighting research interests and experience; contact information for three references Special Instructions Contact Information Sandro Santagata, MD, PhD Contact Email
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Requirements: PhD in Data Science, Computer Science, Biomedical Informatics or related field At least 3 years of relevant experience in data science or analytics role Strong analytical and problem-solving skills
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research related to mental health and addiction services utilization and quality of care. Experience working with Medicaid, Medicare and/or commercial claims data, a deep understanding of analytical methods
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experimental team to build and apply analytical frameworks that translate these data into mechanistic insight and therapeutic hypotheses. As part of the Bioinnovations in Brain Cancer initiative, the Fellow will
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the validation of the methodology's performance using real data. The ideal candidate blends data analytics and big data management, AI modelling and validation skills, and is comfortable engaging with