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Field
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contribute to technical deliverables and help to plan for technology translation. Basic Qualifications PhD in engineering, biomechanics, or a related field. Additional Qualifications Interest in
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in
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Apply Now Required Qualifications* A PhD is required for this position. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department
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molecular mechanisms linking CVD and cancer progression. Apply cutting-edge techniques including spatial transcriptomics and single-cell multiomics and integrate multi-omics data to identify therapeutic
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with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing of this data, with a major focus on
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structural biology to tackle challenging scientific questions. Your responsibilities will include, but are not limited to: Multi-omics analysis of bulk and single-cell sequencing data. Developing deep learning
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Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty
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-reviewed publications Qualifications PhD, MD/PhD, or equivalent in immunology, molecular biology, bioengineering, or related field Demonstrated productivity through first-author publications Experience with
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: A PhD degree in business, computer science, informatics, social sciences (preferably sociology, psychology, or economics), public health or a related field is required and must be conferred by
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data