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Sitemap > Bulletin Board > Diplomarbeiten, Bachelor- und Masterarbeiten

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'.

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04.07.2025
Start-up Master Thesis: Join in for building new Actuator technology for legged robot dynamic capabilities

Would you like to lead technology development and influence a startup direction from the start? Would you like to contribute with your technical background? As a part of your Master Thesis, you will be working on progressing a novel idea while exploring the entrepreneurial context of this technology. You have a chance to join our startup after your Thesis completion as a Co-Founder or a Founding member.


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Kontakt: vasilije.rakcevic@tum.de

03.07.2025
Master Thesis: Brain Tumor Radiotherapy Planning using state-of-the-art Computer Vision

Are you passionate about AI for healthcare? Join us for a master’s thesis project at the intersection of medical imaging and machine learning.
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Kontakt: j.weidner@tum.de and lucas.zimmer@tum.de

02.07.2025
Driving The Dream Reaction: Electrochemical Flow Reactor Construction for Formaldehyde Synthesis

Master’s Thesis
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Kontakt: hamzah.elfaitory@tum.de

01.07.2025
(MA/GR) Identification of Soft Tissue Elasticity and Topology using Optical Flow

We are offering a Master's thesis or Guided Research project on identification of soft tissue in the surgical/laparoscopic domain.
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Kontakt: dennis.schneider@tum.de

28.06.2025
Bachelorarbeit: Modellierung des zukünftigen Altholzaufkommens in Bayern

Wir suchen einen interessierten Bacheloranden um die Modellierung des zukünftigen Altholzaufkommens (für die nächsten 15 Jahre) basierend auf den Holzhalbwarenaufkommen zu untersuchen. Die Idee wäre der Vergleich von zwei Methoden (ARIMA und Long short-term memory ).
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Kontakt: tobias.nitschke@tum.de; mika.hayashi@tum.de

25.06.2025
Master's Thesis: Efficient Real-Time V2X Data Transmission and Object Extraction

Development of an efficient real-time V2X data transmission and object extraction pipeline by fusing camera, LiDAR, and radar inputs. The system optimizes sensor data transfer and processing to achieve sub-100 ms latency, integrates adaptive compression and error-correction mechanisms, and rapidly generates detailed object lists to enhance situational awareness and safety in connected and autonomous vehicles.
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Kontakt: kuoyi.chao@tum.de

25.06.2025
Master's Thesis: Object List Generation and Extraction for V2X Communication

Development of an advanced real-time object detection system for V2X communication by fusing camera, LiDAR, and radar data. The system detects, tracks, and predicts object movements using probabilistic models to enhance situational awareness, reduce collision risk, and optimize data transmission in connected and autonomous vehicles.
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Kontakt: kuoyi.chao@tum.de

25.06.2025
Master's Thesis: Hardware-Optimized Perception in V2I Systems (in cooperation with BMW)

Accelerating multi-sensor object detection on an edge device. The project is conducted in cooperation with BMW and offers valuable insights into real-world scenarios.
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Kontakt: erik-leo.hass@tum.de

17.06.2025
Sustainable agriculture effects on biodiversity

Land uses such as mowing frequency and grazing affect the diversity of invertebrates and potentially their interactions. We have multiple projects to evaluate these effects, available for motivated students to start right away.
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Kontakt: Alejandra.parreno@tum.de

16.06.2025
IDP/FP/Master thesis: Lightweight and Fast-Inference Vision-Language Models for Autonomous Driving

To support the development of deployable AI systems for autonomous vehicles, we propose a literature and research study that surveys and develops lightweight and fast-inference VLMs, focusing on their applicability to driving-related tasks.
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Kontakt: yuan_avs.gao@tum.de

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