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Postdoctoral Fellow Machine Learning Jobs in New York

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Postdoctoral fellows gain research experience by working side-by-side with world-renowned ... We strive to create an environment where collaboration, fairness, and continuous learning drive ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

The Postdoctoral Fellowship in Clinical Psychology is 12-month position at the World Trade Center ... We strive to create an environment where collaboration, fairness, and continuous learning drive ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

We are inviting applications for a Postdoctoral Research Fellowship position in large scale data ... Should have an interest in common biostatistical and machine learning frameworks such as predictive ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

We are inviting applications for a Postdoctoral Research Fellowship position in large scale data ... machine learning frameworks such as predictive modeling, linear modeling, network modeling, and ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Postdoc fellows may work on many of the cutting-edge research areas at Mount Sinai, including: • ... machine-learning/deep-learning methodology research with application to biomedical data. • ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Postdoc fellows may work on many of the cutting-edge research areas at Mount Sinai, including: • ... machine-learning/deep-learning methodology research with application to biomedical data. • ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

A postdoctoral position in bioinformatics/Biostatistics/data science is available at the Icahn ... machine learning to develop predictive models of diagnosis and prognosis, as well as a vehicle to ...

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Postdoctoral Fellow Machine Learning information

What is a Postdoctoral Fellow in Machine Learning?

A Postdoctoral Fellow in Machine Learning is a researcher who has recently completed their PhD and is engaged in advanced research in the field of machine learning. This role typically involves conducting independent or collaborative research, publishing scientific papers, and sometimes mentoring students. Postdoctoral fellows often work at universities, research institutes, or industry labs, focusing on developing new algorithms, improving existing models, or applying machine learning techniques to specific problems. The position is usually temporary, lasting one to three years, and aims to prepare researchers for permanent academic or industry roles.

What is the difference between Postdoctoral Fellow Machine Learning vs Postdoctoral Research Scientist?

AspectPostdoctoral Fellow Machine LearningPostdoctoral Research Scientist
Required credentialsPhD in Computer Science, Data Science, or related fieldPhD in relevant field, often with specialized research experience
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, tech companies
Employer and industry usagePrimarily academia, government researchPrimarily industry, corporate research divisions
Common search and comparison intentUnderstanding academic research roles in machine learningExploring industry-focused research career paths

Postdoctoral Fellow Machine Learning roles typically focus on academic research, requiring a PhD and working in universities or research institutions. In contrast, Postdoctoral Research Scientist positions are often industry-based, emphasizing applied research within corporate R&D departments. Both roles involve advanced machine learning expertise but differ mainly in work environment and career trajectory.

What are the key skills and qualifications needed to thrive as a Postdoctoral Fellow in Machine Learning, and why are they important?

To thrive as a Postdoctoral Fellow in Machine Learning, you need a strong background in computer science, mathematics, and statistics, typically supported by a PhD and relevant research experience. Familiarity with programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and experience in high-performance computing environments are commonly required. Strong analytical thinking, effective scientific communication, and collaboration skills help you contribute to research teams and disseminate findings. These skills and qualities are crucial for advancing research, developing innovative solutions, and building a successful academic or industry career in machine learning.

What are some common challenges faced by Postdoctoral Fellows in Machine Learning, and how can they be addressed?

Postdoctoral Fellows in Machine Learning often encounter challenges such as balancing independent research with collaborative projects, staying current with rapidly evolving technologies, and securing funding or publishing in top-tier journals. To address these, it's helpful to establish clear communication with mentors and collaborators, set aside dedicated time for reading recent literature, and actively seek feedback on research drafts. Building a professional network through conferences and seminars can also open opportunities for collaboration and career advancement.
What are popular job titles related to Postdoctoral Fellow Machine Learning jobs in New York? For Postdoctoral Fellow Machine Learning jobs in New York, the most frequently searched job titles are:
What cities in New York are hiring for Postdoctoral Fellow Machine Learning jobs? Cities in New York with the most Postdoctoral Fellow Machine Learning job openings:
Postdoctoral Fellow-MSH

Postdoctoral Fellow-MSH

Mount Sinai Hospital

Manhattan, NY • On-site

$53K - $73K/yr

Full-time

Re-posted 19 days ago


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Company rating: 7.8 out of 10

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Job description


Roles & Responsibilities:
As a postdoctoral fellow, you will play a critical role in generating and fostering a cutting-edge, interdisciplinary research environment that serves to advance medical knowledge daily. Postdoctoral fellows gain research experience by working side-by-side with world-renowned physicians and scientists who are answering fundamental questions related to human conditions, disorders and disease. Appointment as a postdoctoral fellow at Mount Sinai is extended only to individuals with doctoral degrees who seek to enhance their research experience under the mentorship of a faculty member (Principal Investigator, PI). This is a "trainee" position, and is not a faculty position. A background or interest in microbiology, virology, and immunology is preferred.
Requirements:
PhD
About Us
Strength through Unity and Inclusion
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.
About the Mount Sinai Health System:
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.
Equal Opportunity Employer
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

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