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molecular biology, tissue pathology, imaging (basic, translational, and clinical), ex-vivo/in-vitro/in-vivo modeling, and analytical skills. Organizational Status The applicant will work with other laboratory
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will participate actively in the design and execution of various project which range from bedside to bench and back using molecular biology, tissue pathology, imaging (basic, translational, and clinical
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to bench and back using molecular biology, tissue pathology, imaging (basic, translational, and clinical), ex-vivo/in-vitro/in-vivo modeling, and analytical skills. Organizational Status The applicant will
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software, Windows and Linux operating systems, Windows Active Directory, TCP/IP networks and network architecture as they apply to IT security (e.g. zoning), encryption and communication technologies, cloud
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institutional partners. People & Culture Supervise and mentor a team of 50-60 staff, postdocs, and research assistants. Required Qualifications Education – Advanced degree in public policy, communication
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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
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students, postdocs, and faculty members in the planetary science and geophysics groups. The selected candidate may also be asked to provide educational activities that engage upper year and graduate
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including visible and near-infrared imagery, synthetic aperture radar imagery, radar altimetry and LiDAR. The selected candidate will collaborate with students, postdocs, and faculty members in
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). The successful applicant will have access to core resources within the Faculty, including CL3 labs, state-of-the-art facilities for flow cytometry, live cell imaging, multiplex imaging, histomorphology and
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: MS Office (Word, Excel, PowerPoint, Outlook, Access), MS Project and other desktop tools. Knowledge of networks and software distribution tools. Knowledge of imaging and imaging lifecycle management