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    Post-doctoral Research Associate - Charlottesville, United States - University of Virginia

    University of Virginia
    University of Virginia Charlottesville, United States

    1 week ago

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    Description

    The Department of Cell Biology, at the University of Virginia School of Medicine invites applicants for a Post-doctoral Research Associate in the Laboratory of Dr.

    Elias Spiliotis

    The lab focuses on spatial organization of eukaryotic cell biology, investigating cytoskeleton-based mechanisms of epithelial and neuronal morphogenesis.


    Current projects center on three research areas: 1) neurite morphogenesis and outgrowth, 2) cancer cell invasion (invadopodia), 3) spatial control of intracellular transport.

    Approaches include cutting-edge super- and high-resolution fluorescence microscopy, in vitro reconstitution, biochemistry, protein pharmacological and gene targeting methods, 3D organoids and proteomics.


    The selected candidate will be expected to perform research in consultation with the PI using microscopy, biochemical and/or molecular biology experimentation.

    Additional duties will include interacting and mentoring students, analyzing and presenting data, publishing research papers and reviews, and contributing to lab operations and grant applications.

    The ideal applicant will be highly motivated with good communication skills, strong work ethic and a drive for high quality results.

    Research Associates will be involved in full-time research or scholarship at the University.

    Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows the appointee to publish the results of his/her research or scholarship during the training period.

    Minimum Requirements

    Education:
    Doctoral degree at the time of hiring

    Preferred Skills

    Experience with one or more of the following skills is preferred:


    • Cell and molecular biology
    • Advanced fluorescence microscopy (confocal, super-resolution, total internal reflection)
    • Image processing and analysis
    • Protein biochemistry/purification and in vitro reconstitution
    • Cell and tissue culture
    • Small animal surgery
    Physical Demands

    This position can spend extensive periods of time standing and squatting while conducting experiments. Also requires keyboarding and other bench work requiring finer finger manipulation.

    Application Instructions:
    Please apply through Workday and complete an application online


    Include the following documents:

    • A CV/resume
    • A cover letter
    • Contact information for 3 references (name, email, phone number)
    All documents can be loaded into the resume submission field, multiple documents can be submitted into this one field. Internal applicants must apply through their UVA Workday profile. Incomplete applications will not be considered.

    This is a restricted position; continuation is dependent on funding and satisfactory performance. Priority review of applications will begin April 15, 2023, but the position will remain open until filled.

    For questions about the application process, please contact Margaret Weeks, Academic Recruiter. Before a formal offer of employment is extended, the selected candidate will undergo a background check per university policy.


    The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician's Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.

    We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers.

    All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.


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