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Diplomarbeiten, Bachelor- und Masterarbeiten
Sie suchen gerade eine Diplomarbeit, ein Thema für eine Bachelor oder Master Thesis? Dann sind Sie hier richtig. In diesem Bereich sind Abschlussarbeiten aus allen Fakultäten zu finden.
Beachten Sie auch den entsprechenden Stichwortindex.
Wenn Sie selbst eine Diplomarbeit ausschreiben wollen, lesen Sie bitte vorher unbedingt das 'Best Practice Manual Stellenanzeigen'.
16.03.2025
Shader Based Volumetric Path Tracing of Medical Data
This project aims to enable path tracing of volumetric medical data, such as CT scans, within the Unity game engine. The resulting library will support researchers in developing high-fidelity, real-time medical visualizations to advance medical research.
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Kontakt: hex-thesis.ortho@mh.tum.de, constantin.kleinbeck@tum.de
16.03.2025
Synthetic Data Generation for Dynamic Neural Novel View Synthesis
This project focuses on generating synthetic training data for dynamic neural novel view synthesis systems. A particular emphasis is placed on creating edge case test data to evaluate the limits of current methods.
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Kontakt: hex-thesis.ortho@mh.tum.de, constantin.kleinbeck@tum.de
16.03.2025
Realtime Updates for Scene Changes in Gaussian Splatting Scenes
This project aims to combine knowledge of classical reconstruction methods, real time capable algorithms and modern neural rendering to provide high-fidelity reconstructions from accidents and traffic scenes.
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Kontakt: hex-thesis.ortho@mh.tum.de, hannah.schieber@tum.de
16.03.2025
Realtime Region-Of-Interest Refinement for Gaussian Splatting
The Human-Centered Computing and Extended Reality Lab of the Professorship for Machine Intelligence in Orthopedics seeks applicants for Bachelor/Master Thesis for the Summer Semester 2025.
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Kontakt: hex-thesis.ortho@mh.tum.de, hannah.schieber@tum.de
15.03.2025
Physics-based machine learning for hyperspectral neuronavigation
At the lab for AI in Medicine, we offer a project on physics-based machine learning for hyperspectral neuronavigation
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Kontakt: ivan.ezhov@tum.de
15.03.2025
Virtual Test Env for 3D Reconstruction and Drone Navigation
The Human-Centered Computing and Extended Reality Lab of the Professorship for Machine Intelligence in Orthopedics seeks applicants for Bachelor/Master Thesis for the Summer Semester 2025.
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Kontakt: hex-thesis.ortho@mh.tum.de, hannah.schieber@tum.de
15.03.2025
Sparse Camera Gaussian Splatting for Challenging (Operating Room) Scenes
The Human-Centered Computing and Extended Reality Lab of the Professorship for Machine Intelligence in Orthopedics seeks applicants for Bachelor/Master Thesis for the Summer Semester 2025.
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Kontakt: hex-thesis.ortho@mh.tum.de, hannah.schieber@tum.de
14.03.2025
Master Thesis: Microrobots for ATP Sensing
The Microrobotic Bioengineering Lab (MRBL) is offering a Master’s thesis position on developing new sensing capability for soft microrobots. In this project, you will explore ways to incorporate a suitable ATP sensor into the material of the soft microrobot, enabling real-time metabolic rate sensing. You will also gain hands-on experience in high-throughput fabrication of soft microrobots and learn to test them in cell culture experiments.
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Kontakt: Philipp.harder@tum.de
13.03.2025
AI-Driven Photovoltaic Energy Forecasting
Predicting PV energy generation over a 24-hour period is challenging due to the dynamic nature of solar irradiance and weather conditions. This thesis aims to develop innovative approaches that combine physical modeling of PV system performance with advanced machine learning techniques to generate accurate short-term forecasts.
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Kontakt: lingga_aksara.putra@tum.de
13.03.2025
AI-Driven Wind Energy Forecasting
Wind energy is characterized by variability and non- linear behavior, complicating grid management and energy planning. Accurately forecasting wind energy generation is essential for optimizing grid operations, reducing energy costs, and ensuring system reliability. This thesis will explore innovative approaches to predict the generated wind energy over a 24-hour horizon by leveraging physical models (such as turbine power curves) and data-driven machine-learning techniques.
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Kontakt: lingga_aksara.putra@tum.de
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