Company:  Confidential

Job Title: AI Machine learning

Job Number: 80546

Location: New York, US

Job Description

Dr. Kinreich’s group at SUNY Downstate Health Sciences University
investigates the structural and functional neural networks, genetics, and other phenotypes associated with the risk and resilience factors underlying the development of brain diseases. We use advanced machine learning algorithms and are seeking a skilled, motivated, and enthusiastic individual with a Master’s degree postdoctoral fellow to join the lab.

Education:
Candidates must have a Master’s degree or a Ph.D. degree (or towards completion) in computational neuroscience, biology, computer science, data science, or a related discipline.

Computer and General Skills:
Knowledge of experimental statistics and excellent programming skills is required (Python, Matlab). High-level expertise in neuroimaging analyses is a plus. Previous experience in machine learning analysis and computational modeling is a plus. Takes initiative. Strong communications skills and research productivity as well as the ability to work effectively in a research team.

Duties and Responsibilities:
• Managing and analyzing big data including neuroimaging, genetics, and clinical data
• Writing machine learning programs in Python and Matlab to identify patterns in data
• Writing manuscripts
• Presenting findings at national conferences and local seminars/meetings

This job is available immediately, for 2-4 years. Job is open until filled.

Salary will be commensurate with experience and qualifications according to NIH scales.

SUNY Health System is an equal-opportunity employer. We comply with applicable Federal civil rights laws and do not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression.
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Start date
As soon as possible

How to Apply
Candidates should send their CV, representative publications, and contact information of two references to Sivan Kinreich, email: [Please click the Apply button for the link or email]

 

Application Deadline: 2024-09-30

 

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