Post-Doctoral Position - Antibodies

Employer
University of Maryland at Baltimore
Location
Maryland, United States
Salary
Salary Not Specified
Start date
Jun 25, 2021

View more

Position Type
Faculty Positions, Science, Technology & Mathematics, Biotechnology & Bioengineering, Computer Sciences & Technology, Other Science & Technology, Statistics, Administrative, Academic Affairs, Institutional Research & Planning
Employment Type
Full Time


Department 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 miroslow.janowski@som.umaryland.edu 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.

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