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Full Time Ai Training For Physics Jobs (NOW HIRING)

Our Training Features: • You will receive top quality instruction that is famous for Online ... AI training. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM ...

We offer online training that clearly stands out of the group, sign up for a demo session. Our ... AI. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension

Our Training Features: • You will receive top quality instruction that is famous for Online ... AI. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension

Responsibilities : • Develop and productize novel computational geometry handling and meshing approaches for physics simulation (e.g., CFD, structural analysis, thermal simulation) and Physics AI ...

Architect and maintain robust code for training and serving ML models that predict and optimize RF ... Physics-Informed ML: Interest or experience in applying ML to physics-based problems or ...

Architect and maintain robust code for training and serving ML models that predict and optimize RF ... Physics-Informed ML: Interest or experience in applying ML to physics-based problems or ...

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Full Time Ai Training For Physics information

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$39K

$46.9K

$52.5K

How much do full time ai training for physics jobs pay per year?

As of Jul 31, 2026, the average yearly pay for full time ai training for physics in the United States is $46,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $50,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Ai Training For Physics vs Data Scientist?

AspectFull Time Ai Training For PhysicsData Scientist
Required CredentialsPhysics degree, programming skills, AI knowledgeStatistics, programming, domain expertise
Work EnvironmentResearch labs, tech companies, academiaCorporate offices, tech firms, consulting
Industry UsageAI development, physics simulations, researchData analysis, predictive modeling, business insights

Full Time Ai Training For Physics focuses on applying AI techniques to physics problems, requiring a physics background and AI skills. Data Scientists analyze data to extract insights across industries. While both roles involve programming and data handling, Full Time Ai Training For Physics emphasizes physics applications, whereas Data Scientists work across diverse sectors.

More about Full Time Ai Training For Physics jobs
What are the most commonly searched types of Ai Training For Physics jobs? The most popular types of Ai Training For Physics jobs are:
What job categories do people searching Full Time Ai Training For Physics jobs look for? The top searched job categories for Full Time Ai Training For Physics jobs are:
Infographic showing various Full Time Ai Training For Physics job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $46,902 per year, or $22.5 per hour.

Full-time

Posted 2 days ago

New


NYU Langone Health rating

8.5

Company rating: 8.5 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

16th of 885 rated healthcare providers


Job description

The Physics Division of the Department of Radiation Oncology at NYU Langone Health is recruiting multiple Clinical Faculty Medical Physicists.  NYU Langone Heath ranks #1 in New York and #3 in the nation.

Clinical-track faculty typically performs 80% clinical effort and 20% academic effort.  Clinical services include participation in our comprehensive physic quality assurance program, brachytherapy and special procedures coverage, and physics involvement in IGRT, SBRT, adaptive therapy, and treatment planning.  The successful applicants will provide didactic and practical teaching and training for physics and medical residents, as well as other departmental staff, and participate in ongoing and/or new clinical development initiatives.  Current division development areas include online adaptive therapy, MR-based auto-segmentation algorithms, treatment assessment, novel treatment planning optimization, automation strategies, and improving our approaches toward efficiency, safety and quality. Clinical faculty physicists may also be involved in collaboration with our statewide network of radiation oncology locations and teams. 

The Radiation Oncology Department is equipped with state -of-the-art medical equipment including 6 Truebeam and Edge Linacs, VisionRT, ExacTrac an MR-linac (Unity), a GammaKnife, 3 Siemens CT simulators, an MR simulator, two HDR afterloaders (Bravos) distributed across 3 locations.  The department has integrated an Ethos Linanc and PET/CT scanner.  In support of our expansion, we are seeking individuals with medical physics experience to join our team.  The available positions offer a unique opportunity to significantly contribute to the quality of radiation therapy services at a leading medical institution and influence patient care while advancing clinical and research capabilities in radiation oncology.  Being part of our team (15 physicists, 13 dosimetrists, and 3 medical physics residents) means joining a dedicated group of individuals who strive every day to maintain the highest safety standards.  NYU Langone Health is committed to innovating value-based care and utilizing integrated applications, population insights, and staffing expertise to high safety standards.

Requirements include a Ph.D. from a CAMPEP-accredited medical physics program or a Ph.D  or equivalent in Physics, Medical Physics, or related field with completion of a CAMPEP-approved Residency training program in Radiation Oncology Physics.  Board Certified or Board Eligible by the American Board of Radiology.  Evidence of clinical competence and didactic  teaching is also expected.  

NYU Langone Health is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration.


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