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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'.
14.11.2023
Master's Thesis - Electrostatic Positron Beam Guiding
The mono-energetic positron beam at TUM allows state-of-the-art depth dependent measurements of open void defects and chemical composition by measuring the Doppler broadening of the 511 keV annihilation line as well as investigation of the formation of positronium. In the current experimental setup, magnetic fields guide the positron beam and an increase in the field strength provides focusing onto a sample surface. However, the presence of a magnetic field at the sample location is not necessarily desirable, since it can limit the sample geometry and material. Furthermore, in cases where positronium is studied, the magnetic field can complicate data analysis since it can suppress positronium formation.
To address this issue, this project will replace the existing magnetic focusing with an electrostatic focusing system. The work will involve design and simulation of a new electrostatic lens and magnetic field termination and will include initial experimental benchmarking of the constructed setup. The project is carried out within the TUM research group Physics with Positrons.
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Kontakt: daniel.russell@frm2.tum.de
14.11.2023
Master Thesis: Modeling of an oxyfuel combustion of sewage sludge with subsequent CO2 utilization in a P2X process
Project Description:
In our research project, we investigate the partial and complete oxyfuel mono fluidized bed combustion of sewage sludge together with an oxyfuel flue gas cleaning section. The goal is to separate the carbon dioxide contained in the flue gas and make it usable for downstream P2X processes.
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Kontakt: szymon.herdzik@tum.de
10.11.2023
Masterthesis - Masterarbeiten
Insertion, also widely known as Peg-in-Hole, is one of the most essential skills for robots in both modern manufacturing and services robotics. Recent advances in flexible manufacturing and trending shift from Industry 4.0 to Industry 5.0
highlights the needs of learning machines, i.e., robots enabled by embodied intelligence, which can acquire manipulation
skills more efficiently in unstructured or dynamic environment. In our previous studies [2][3], we proposed a novel
framework to formulate manipulation skills for robotic assembly, leveraging modern torque-controlled robots and featuring reactive real-time Behavior Tree for robust real-world execution and sample-efficient transfer learning. To further enhance the versatility and adaptability of this method, we aim to leverage state-of-the-art computer vision techniques for pose estimation, such as [1], and integrate the relevant information into our existing robot control and learning framework and
software architecture [4] for contact-rich robotic assembly. Although the robotics community has seen a myriad of research efforts into visuo-tactile robot manipulation, most works lack robustness in physical execution in real-world industry relevant challenging tasks. Our goal is to build a reliable visuo-tactile robot control, planning and learning architecture to lay a solid
foundation for various ongoing research topics in our lab.
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Kontakt: yansong.wu@tum.de
06.11.2023
Master-, Bachelorarbeit, Praktikum oder Studentische Hilfskraft: FEM-simulation and biomechanical testing of a novel knee spacer device with integrated sensors
Im Rahmen des Bmbf-geförderten Projekts Smart wireless implant for infection monitoring (SWi²M) wird ein neuartiger Kniespacer mit Messsensoren entwickelt, welcher in der Lage ist mit diversen Sensoren den Infektstatus, sowie ein Livebild und weiterer Parameter aus dem Knieinneren zu erfassen und an das mobile Device des zu behandelnden Arztes zu senden, um somit die Diagnose und Therapieentscheidung mittels nicht-invasiver, kontaktloser Information in Echtzeit zu Unterstützen. Dabei gibt es eine Vielzahl möglicher Aufgaben im Projekt, an denen Sie im Zuge einer Bachelor- / Masterthesis oder eines Praktikums bzw. als Studentische Hilfskraft mitwirken können: FEM-Simulation von Belastungssituationen (ANSYS) der neuartigen Kniespacer, Biomechanische Versuchsreihen zur Evaluierung der Festigkeit für präklinische Studien und humane Auslegung. Biokompatibilitätsuntersuchungen. Ermittlung der Nachweisgrenzen in mikrobiologischen invitro-Experimenten. Auslegung von Sensorik und Etablierung zur Überwachung von invitro Experimenten bspw. via Arduino/LabView-Software. Weiter Erprobung an humanen Körperflüssigkeiten wie Aszites und Blut getestet und hinsichtlich Nachweisgrenze beurteilt werden.
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Kontakt: aobermeier@tum.de, stephan.heller@tum.de
06.11.2023
Bachelor- oder Masterthesis, Praktikum oder studentische Hilfskraft: Mitarbeit an der Entwicklung einer Nachweismethode pauzibazillärer Infektionen
Im Rahmen des Projekts wird ein neuartiges Filtersystem entwickelt, wodurch ermöglicht werden soll, sehr gering konzentrierte Mikroorganismen im Aszites/Blut schneller und spezifischer detektieren zu können, als es derzeit mit gängigen Blutkultursystemen der mikrobiologischen Diagnostik der Fall ist. Dabei gibt es eine Vielzahl möglicher Aufgaben im Projekt, an denen Sie im Zuge einer Bachelor- / Masterthesis oder eines Praktikums bzw. als HiWi mitwirken können: optimierte Lyse eukaryotischer Zellen, Charakterisierung des Filtrationsprozesses, Optimierung versch. Resistenztestungen, Optimierung kolorimetrischer Nachweisverfahren, Programmierung/Inbetriebnahme und Evaluierung eines CO2-/Druck-Sensors und Steuerung via Arduino-Software, usw. Dies soll auch in humanen Körperflüssigkeiten wie Aszites und Blut getestet und hinsichtlich Nachweisgrenze beurteilt werden.
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Kontakt: stephan.heller@tum.de
03.11.2023
Master Thesis with Financial Supplement: Intelligent nuclear medicine ward
With several recent approvals, targeted radionuclide therapy has established itself as an emerging therapeutic modality in oncology. Nonetheless, the escalation in patient volume and the diversification of utilized radioisotopes present substantial challenges in the administration of nuclear medicine wards. Advancements in artificial intelligence present an unparalleled potential in addressing these challenges, offering solutions for tailored radiation monitoring, systematic ward management, and proactive risk prevention. This interdisciplinary master's thesis, co-supervised by the schools of CIT and ED, seeks to foster collaboration with experts spanning computer science, real estate management, medicine, and medical physics. The objective is to catalyze technological breakthroughs conducive to an optimized, intelligent ward environment.
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Kontakt: Prof. Kuangyu Shi: k.shi@tum.de; Prof. Bing Zhu: b.zhu@tum.de
02.11.2023
Bachelor-/ Master-/ Semesterarbeit:Microbial Process Intensification/Enzyme Immobilization
In this research project, genetically optimized E. coli strains expressing different extracellular high-value proteins will be used to establish different concepts of process intensification. Process intensification in the biopharmaceutical industry aims for the improvement of productivity and flexibility while simultaneously decreasing cost and process footprint.
This can be realized through establishing and applying innovative equipment, methods, and modes during the development of integrated upstream and downstream processes.
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Kontakt: j.galbusera@tum.de
01.11.2023
Master Thesis with HiWi Job
This master thesis project, in collaboration with the Medical Affairs team at ITM and their associates, seeks to explore, construct, and apply strategic methodologies for harnessing large-scale generative artificial intelligence (AI) models in bolstering multi-channel digital strategies within theranostic development. Noteworthy attention will be applied to the academic and scientific exploration of technology implementation in the healthcare sector.
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Kontakt: Prof. Kuangyu Shi, Chair for Computer-aided Medical Procedure (Prof. Navab), Email: k.shi@tum.de
30.10.2023
IDP/Theses for WS23/24: Leveraging Generative AI Chatbots in VR Museums for Enhanced Educational Experiences
Generative AI (GenAI) has gained immense popularity, particularly for its applications in education. Within the virtual reality (VR) realm, where interactive environments are pivotal, GenAI, especially Large Language Models (LLMs), offers promising potential to enrich user experiences. An exemplary use case is the creation of immersive VR museums, where LLM-based chatbots serve as interactive guides. This project aims to propose, develop, and assess an immersive VR museum enhanced with LLM-based chatbots. In addition, the effects of animated avatars (museum guide) on user experience will be explored.
Prerequisites:
Unity/Unreal Engine
C#
Python
Machine learning
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Kontakt: hong.gao@tum.de
27.10.2023
Study Project: Mobility in Munich - Expert interview on innovative traffic concepts
In the project, experts of the MCube cluster will be interviewed about the innovative traffic concept and their effects in Munich.
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Kontakt: johannes.lindner@tum.de, markus.dieter.fischer@tum.de
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