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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Engineering
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Engineering
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informatics, electrical engineering, or a related field Demonstrated expertise in machine learning, deep learning, and image-based modeling. A strong publication record in top-tier venues (e.g., MICCAI, CVPR
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for submission to peer-reviewed journals; and mentoring undergraduate and graduate students. Qualifications: PhD in Chemistry, Physics, Chemical Engineering or a related field by the time of hire is required
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and mentorship of junior colleagues and participation in professional societies. Position requirements: PhD in Physics, Medical Physics, Electrical/Biomedical Engineering or related field. MRI pulse
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Informatics; designs and develops novel computational tools for biomedical data analysis; performs large-scale analysis using omics data; assists in identifying new biomedical data analysis technology and
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genetically engineered mouse models of lung cancer Collaborating with multidisciplinary teams within and beyond home institution Collaborate with bioinformaticians and clinicians for translational studies Write
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contributing to grant writing and mentorship of junior colleagues and participation in professional societies. Position requirements: PhD in Physics, Medical Physics, Electrical/Biomedical Engineering or related
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-for-purpose modeling efforts. MINIMUM QUALIFICATIONS: PharmD or PhD in pharmacology, statistics, engineering, or related field; specific training, experiences, and a demonstrated track record in applying PK/PD
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experiments in protein engineering, molecular biology, biochemistry, and next-generation sequencing (NGS). The ideal candidate will have experience with computational tools for protein modeling and design—such