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Medical Physics Internship Topics

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Medical Physics Internships with Accommodation

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Showing 37–48 of 100 internship topics
AI-Assisted Photon and Electron Transport Simulation
Interns will train and implement machine learning models to accelerate photon and electron transport simulations in heterogeneous media. This includes developing neural network architectures that predict dose distributions while maintaining accuracy compared to traditional Monte Carlo methods.
AI Monte Carlo Medical Simulation ResearchView internship →
Brachytherapy Source Modeling and Verification
Interns will conduct Monte Carlo simulations to model radiation source distributions in brachytherapy and develop AI-based quality assurance tools for treatment plan verification. Research will focus on source geometry accuracy and dose rate prediction optimization.
AI Monte Carlo Medical Simulation ResearchView internship →
Patient-Specific Anatomy Integration in Monte Carlo Simulations
Interns will develop methods to incorporate patient CT imaging data into Monte Carlo simulations for personalized dose calculations and treatment planning. This includes tissue heterogeneity handling, boundary condition optimization, and deep learning models for rapid geometry processing.
AI Monte Carlo Medical Simulation ResearchView internship →
Radiobiological Uncertainty Quantification Using Machine Learning
Interns will apply statistical analysis and AI techniques to quantify uncertainties in Monte Carlo simulations and radiobiological outcome predictions. Work includes sensitivity analysis, surrogate modeling, and validation of dose-response relationships for various tumor types and treatment modalities.
AI Monte Carlo Medical Simulation ResearchView internship →
Calibration and Characterization of Brachytherapy Sources
Interns will perform experimental calibration of radioactive brachytherapy sources using well-chamber ionization chambers and compare results with manufacturer specifications. They will develop proficiency in source strength determination, traceability to primary standards, and documentation of quality assurance protocols used in clinical settings.
Brachytherapy Source Dosimetry MeasurementsView internship →
Dose Rate Measurement Around Sealed Sources
Interns will measure and map dose rate distributions around brachytherapy sources at various distances using thermoluminescent dosimeters (TLDs) and/or semiconductor detectors. They will analyze spatial dose variation, validate inverse square law principles, and generate dose rate tables for clinical reference.
Brachytherapy Source Dosimetry MeasurementsView internship →
Monte Carlo Simulation of Brachytherapy Dose Distributions
Interns will use Monte Carlo simulation software (MCNP, GEANT4, or similar) to model dose distributions around various brachytherapy source geometries and materials. They will validate simulations against experimental measurements and investigate the effects of source design parameters on dose delivery accuracy.
Brachytherapy Source Dosimetry MeasurementsView internship →
Radiation Protection and Shielding Assessment in Brachytherapy Labs
Interns will conduct radiation surveys, measure exposure rates in brachytherapy treatment areas, and evaluate shielding effectiveness of protective barriers. They will apply regulatory standards to recommend optimizations for radiation safety and develop protocols for handling and storage of sealed radioactive sources.
Brachytherapy Source Dosimetry MeasurementsView internship →
Energy Spectrum Analysis and Detector Response Characterization
Interns will analyze the energy spectra of brachytherapy sources using gamma spectroscopy and study detector response characteristics across different energy ranges and dose rates. They will evaluate systematic uncertainties in dosimetric measurements and develop correction factors for improved measurement accuracy.
Brachytherapy Source Dosimetry MeasurementsView internship →
Artifact Detection and Mitigation in CT Imaging
Interns will investigate various CT artifacts including metal, motion, and beam-hardening artifacts using image processing techniques and machine learning algorithms. They will develop and validate artifact reduction methods and evaluate their impact on diagnostic image quality and clinical utility.
CT Image Quality Assessment PhysicsView internship →
CT Dose Optimization and Image Quality Trade-offs
Interns will analyze the relationship between radiation dose parameters and resulting image quality metrics using phantom studies and clinical data. They will develop optimization protocols to achieve diagnostic image quality while minimizing patient radiation exposure across different anatomical regions.
CT Image Quality Assessment PhysicsView internship →
Quantitative CT Image Quality Metrics and Assessment Methods
Interns will establish and validate standardized metrics for assessing CT image quality including noise, spatial resolution, contrast-to-noise ratio, and low-contrast detectability. They will implement automated quality assurance programs and develop protocols for routine performance monitoring of CT systems.
CT Image Quality Assessment PhysicsView internship →
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