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Three Postdoctoral Fellow Positions in Multi-Modal Brain Imaging of Focal Dystonia
Research Associate Position in Neural Modeling
(I) An NIH-funded postdoctoral fellow position is available to study brain abnormalities across different forms of task-specific focal dystonia using a combination of structural and functional neuroimaging techniques and clinico-behavioral neurotesting.
(II) Another NIH-funded postdoctoral position is available to study the central effect of an investigational new drug, sodium oxybate (Xyrem), for treatment of spasmodic dysphonia and voice tremor using neuroimaging and clinical assessment.
(III) An NIH-funded postdoctoral position is also available to examine the relationships between the brain function, gene, and behavior in patients with spasmodic dysphonia.
The postdoctoral fellows will function as part of a multidisciplinary team of neuroscientists, geneticists, and clinicians. Responsibilities will include the conduct of all aspects of a research protocol, such as subject recruitment, MRI data analysis, including the development, modification, and execution of image analysis protocols, preparation of publications and scientific presentations, dissemination of the results through peer-reviewed scientific journals and at major national and international meetings, and mentoring junior staff. Some research protocols will include analysis of genetic data and clinical correlates. Opportunities exist for excellent scientific interactions and collaborations with an extensive program of seminars, symposia, and other organized meetings focused on a large array of topics in neuroscience, laryngology, and neuroimaging. In addition to in-depth training in multi-modal structural and functional brain imaging in healthy and diseased populations, the fellow will benefit from close collaborations with the expert teams in movement disorders, genetics, and neuroscience both at Massachusetts Eye and Ear and Mass General.
Qualifications and Skills
A PhD or MD/PhD in neuroscience, biomedical engineering, mathematics, genetics, or related fields of biomedical sciences. The candidate should be independent, self-motivated, have excellent verbal and written communication skills, and related publication record. The qualified candidate should be keen to learn and immerse himself/herself in the ongoing research of the laboratory with the opportunity to develop an independent project. He/she should have strong computational and biostatistical skills to implement and integrate the analysis of multi-dimensional imaging, clinical and/or genetic datasets.
- Interest and expertise in human brain imaging, including but not limited to fMRI and DTI. At least basic knowledge of brain anatomy and neuroscience.
- Solid experience with scientific computing, including but not limited to, computational (Linux, MATLAB) and statistical (AFNI, FSL, SPM) methods.
- Ability to work effectively independently and collaborate on projects with multiple investigators.
- Strong publication record and excellent academic credentials.
Full-time, temporary, 1-year initial contract, renewable annually contingent upon performance.
Commensurate with experience according to the Mass. Eye and Ear Policies and Procedures.
The positions are available immediately and applications are considered on an ongoing basis until the positions are filled.
How to Apply
Applications should be sent to Dr. Kristina Simonyan at Kristina_Simonyan@meei.harvard.edu and should include the candidate’s CV with the list of publications, a statement of interest in the position, and the names and contact information of at least three professional referees.
An NIH-funded associate researcher position is available to study large-scale neural population models for the simulation of brain activity. The associate researcher will help with the design and implementation of mathematical models (primarily stochastic differential equation systems) and will have the opportunity to work with an inter-disciplinary team of neuroscientists, clinicians, and mathematicians.
A Bachelor's degree in neuroscience/natural science/computer science/mathematics or other relevant areas of natural sciences. The candidate should be independent, self-motivated, and have excellent verbal and written communication skills. Applicants should be well versed in the analysis and interpretation of dynamical systems. The applicant is expected to be comfortable with algorithmic design and programming. Experience using Python, MATLAB, and C is required. Experience in programming in Python is preferred.
Full-time, temporary, renewable annually contingent upon performance.
Commensurate with experience.
Open until filled.
How to Apply
Applications should be sent to Dr. Kristina Simonyan at Kristina_Simonyan@meei.harvard.edu and should include the candidate’s CV with the list of publications, a statement of interest in the position, and the names and contact information of three professional referees.
Mass. Eye and Ear is an equal opportunity/affirmative action employer. We recognize the power and importance of a diverse employee population and strongly encourage applicants with various experiences and backgrounds.
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