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University of Maryland, Baltimore
Baltimore, Maryland, United States
(on-site)
Posted
30+ days ago
University of Maryland, Baltimore
Baltimore, Maryland, United States
(on-site)
Post-Doctoral Position - Antibodies
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Post-Doctoral Position - Antibodies
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Job DescriptionDepartment of DiagnosticRadiology, at University of Maryland School of Medicine, Baltimore is seeking a candidate for postdoctoral researcher position to conduct collaborative research The role of the postdoctoral fellow will be to spearhead the project "Image-guided, intra-arterial delivery of the antibodies to the central nervous system". It includes several state-of-the-art technologies such as intra-arterial injections in mice, radiolabeling and characterizing antibodies, PET and MRI imaging, post mortem assessment of tissues, as well as data analysis, interpretation as well as drafting manuscripts. The candidate is also expected to assist in data management. The candidate must also possess strong communication and organizational skills.
Qualifications
a. Qualifications
A PhD in Computer Science or Electrical Engineering with biomedical data analysis emphasis or related fields is required. Previous experience in developing novel data mining algorithm, magnetic resonance (MR) image analysis, Unix/Linux Shell programming, FSL, SPM, AFNI, C/C++ programming is preferred.
To Apply
Please email a detailed CV, along with a brief description of relevant past experience to [email protected] using "Antibodies to CNS postdoctoral researcher position application" in the subject line; any questions may be directed to this email address as well.
Application should also be submitted through Taleo:
The University of Maryland is an equal opportunity , affirmative action employer. All qualified applicants will receive consideration for employment regardless of sex, gender identity, race, color, religion, national original, disability, protected veteran status, age, or any other characteristic protected by law or policy . We value diversity and how it enriches our academic and scientific community and strive towards cultivating an inclusive environment that supports all employees.
Job ID: 79446236
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