They are seeking a Research Associate to contribute to an interdisciplinary project focused on developing mathematical and machine learning tools for bone age classification using neural networks.
They are seeking a Research Associate to contribute to an interdisciplinary project focused on developing mathematical and machine learning tools for bone age classification using neural networks.
Conduct knowledge transfer sessions and provide training to Government personnel on analytical ... AWS Certified Machine Learning - Specialty, Microsoft Azure AI Engineer Associate, or similar cloud ...
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... Associate position. The successful candidate will contribute to an interdisciplinary research ... This position is ideal for a highly motivated scholar with expertise in machine learning and ...
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... Associate position. The successful candidate will contribute to an interdisciplinary research ... This position is ideal for a highly motivated scholar with expertise in machine learning and ...
... Associate position. The successful candidate will contribute to an interdisciplinary research ... This position is ideal for a highly motivated scholar with expertise in machine learning and ...
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## Postdoctoral Associate - Hussman InstituteApplyremote type: Hybridlocations: Miami, FLtime type ... Develop and apply machine learning and large language model (LLM) approaches to build interpretable ...
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... Government Services company, is seeking a skilled Data Scientist to join our team at Stennis Space Center, Mississippi. The ideal candidate will leverage advanced analytics, machine learning, and ...
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Moreover, the Postdoctoral Associate promotes institutional recognition through literal ... Develop and apply machine learning and large language model (LLM) approaches to build interpretable ...
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Associate Machine Learning Government information
What is the difference between Associate Machine Learning Government vs Data Scientist Government?
| Aspect | Associate Machine Learning Government | Data Scientist Government |
|---|---|---|
| Required Credentials | Bachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AI | Bachelor's or Master's in Data Science, Statistics, or related; certifications like CAP or DASCA are common |
| Work Environment | Government agencies, research labs, or defense sectors; focus on ML model development and deployment | Government agencies, policy analysis, research; focus on data analysis, modeling, and insights |
| Employer & Industry Usage | Federal, state, or local government; defense, intelligence, or public services | Government departments, research institutions, public policy agencies |
Associate Machine Learning Government and Data Scientist Government roles often overlap in credentials and work environment, but the former emphasizes ML model development, while the latter focuses on broader data analysis and insights within government sectors.
What are the most commonly searched types of Machine Learning Government jobs in Florida?
The most popular types of Machine Learning Government jobs in Florida are:
What are popular job titles related to Associate Machine Learning Government jobs in Florida?
For Associate Machine Learning Government jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning Government jobs in Florida look for?
The top searched job categories for Associate Machine Learning Government jobs in Florida are:
What cities in Florida are hiring for Associate Machine Learning Government jobs?
Cities in Florida with the most Associate Machine Learning Government job openings:
Research Associate, Aerospace Engineering, Daytona Beach Campus
Daytona Beach, FL • On-site
Embry-Riddle Aeronautical University
• Colleges, Universities, and Professional Schools • 1 - 5K employees1,001 - 5,000 employees
Full-time
Re-posted 21 days ago
Embry-Riddle Aeronautical University rating
7.2
Based on 22 frontline employees who took The Breakroom Quiz
Job description
Job Summary:
Embry-Riddle Aeronautical University is a global leader in aviation and aerospace education. They are seeking a Research Associate to contribute to an interdisciplinary project focused on developing mathematical and machine learning tools for bone age classification using neural networks.
Responsibilities:
• Conduct cutting-edge research on mathematical and computational methods for machine learning applied to bone age classification
• Develop and evaluate neural network and deep learning models for medical image analysis
• Investigate techniques to mitigate high false positive rates in AI-based classification systems
• Contribute to the development of a web-based interface for automated bone age assessment
• Publish research findings in peer-reviewed scientific journals and conferences
• Collaborate with interdisciplinary research teams
• Present work at scientific conferences (travel may be required)
Qualifications:
Required:
• Ph.D. (or equivalent doctorate) in Machine Learning, Artificial Intelligence, Computer Science, or a closely related field
• Strong background in machine learning and AI, particularly in medical imaging applications
• Demonstrated ability in advanced mathematical methods relevant to machine learning
• Proven track record of scientific publications or strong potential to publish
• Experience with neural networks, deep learning, and related techniques
Preferred:
• Experience with medical image analysis or healthcare-related AI systems
• Familiarity with model evaluation and techniques to reduce false positives
• Experience developing user-facing tools or web-based applications
Company:
Embry-Riddle Aeronautical University is the world’s oldest and largest fully accredited university specializing in aviation and aerospace. Founded in 1926, the company is headquartered in Daytona Beach, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Embry-Riddle Aeronautical University is a global leader in aviation and aerospace education. They are seeking a Research Associate to contribute to an interdisciplinary project focused on developing mathematical and machine learning tools for bone age classification using neural networks.
Responsibilities:
• Conduct cutting-edge research on mathematical and computational methods for machine learning applied to bone age classification
• Develop and evaluate neural network and deep learning models for medical image analysis
• Investigate techniques to mitigate high false positive rates in AI-based classification systems
• Contribute to the development of a web-based interface for automated bone age assessment
• Publish research findings in peer-reviewed scientific journals and conferences
• Collaborate with interdisciplinary research teams
• Present work at scientific conferences (travel may be required)
Qualifications:
Required:
• Ph.D. (or equivalent doctorate) in Machine Learning, Artificial Intelligence, Computer Science, or a closely related field
• Strong background in machine learning and AI, particularly in medical imaging applications
• Demonstrated ability in advanced mathematical methods relevant to machine learning
• Proven track record of scientific publications or strong potential to publish
• Experience with neural networks, deep learning, and related techniques
Preferred:
• Experience with medical image analysis or healthcare-related AI systems
• Familiarity with model evaluation and techniques to reduce false positives
• Experience developing user-facing tools or web-based applications
Company:
Embry-Riddle Aeronautical University is the world’s oldest and largest fully accredited university specializing in aviation and aerospace. Founded in 1926, the company is headquartered in Daytona Beach, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
What Embry-Riddle Aeronautical University employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Embry-Riddle Aeronautical University
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools
Company size
1,001 - 5,000 Employees
Headquarters location
Daytona Beach, FL, US