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Military Science Modeling Simulation Jobs in Newtown, CT

Define detailed product requirements for dual-rail gate-model quantum systems, simulators, and ... Familiarity with scientific computing tools (e.g., Python), cloud platforms, developer tools, or ...

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Military Science Modeling Simulation information

See Newtown, CT salary details

$40.2K

$104.3K

$148.3K

How much do military science modeling simulation jobs pay per year?

As of Aug 29, 2026, the average yearly pay for military science modeling simulation in Newtown, CT is $104,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $133,400.00 per year, depending on experience, location, and employer.

What is the difference between Military Science Modeling Simulation vs Military Operations Analyst?

AspectMilitary Science Modeling SimulationMilitary Operations Analyst
Required CredentialsBachelor's in military science, engineering, or related field; proficiency in simulation softwareBachelor's in military science, logistics, or related field; analytical skills
Work EnvironmentResearch labs, simulation centers, military training facilitiesField operations, military bases, strategic planning offices
Employer & Industry UsageDefense contractors, military research units, government agenciesMilitary branches, defense agencies, strategic planning units

Military Science Modeling Simulation focuses on developing and analyzing military simulations using specialized software, while Military Operations Analysts interpret real-world military data to improve strategies. Both roles require a background in military science and work within defense-related environments, but their core functions differ in application—simulation development versus operational analysis.

Orthopaedics and Rehabilitation - AI Researcher - Instructor/Assistant/Associate/Professor (RFP-2277

Yale University

New Haven, CT • On-site

Full-time

Re-posted 8 days ago


Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

70th of 627 rated colleges and universities


Job description

Description
Faculty Position in AI-Driven Musculoskeletal Research Yale University School of Medicine - Department of Orthopaedics & Rehabilitation
The Department of Orthopaedics & Rehabilitation at Yale University School of Medicine invites applications for a faculty position (Instructor, Assistant, Associate, or Full Professor) in the tenure track for candidates with expertise in artificial intelligence (AI) and a strong interest in musculoskeletal (MSK) research and/or orthopedic surgery. Applicants must hold a PhD and/or MD (or equivalent degree) and demonstrate outstanding qualifications in research and education.
Areas of Interest Include:
• Artificial intelligence and machine learning applications in musculoskeletal medicine and orthopedic surgery
• Biomedical data science and modeling relevant to MSK health
• Image analysis and computer vision for orthopedic imaging
• Clinical informatics and outcomes research in orthopedics
• Precision medicine and personalized approaches to MSK disorders
• Biomechanical modeling, simulation, and computational orthopedics
• Integration of AI with electronic medical records and surgical workflows
Responsibilities:
• Establish and maintain a vigorous, independently funded research program in AI-driven musculoskeletal science
• Collaborate with clinical and research faculty in orthopedics, engineering, and data science
• Supervise and mentor students, residents, and fellows from diverse backgrounds
• Contribute to the educational missions of the department and Yale School of Medicine
• Foster an environment of collaboration, innovation, and scientific discovery
Qualifications
• PhD and/or MD (or equivalent) with demonstrated expertise in AI, data science, or related fields
• Track record of independent, creative research accomplishments
• Track record of federally funded (NSF, NIH, etc) research
• Interest or experience in musculoskeletal research and/or orthopedic surgery is preferred
• Strong scientific, management, and interpersonal skills
Application Instructions
All interested candidates are asked to apply via Interfolio: apply.interfolio.com/188502
Please provide your curriculum vitate and a list of three references.

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