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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'.
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
27.10.2023
Projektarbeit: Die Mobilität in München - Extperteninterview zu innovativen Verkehrskonzepten
In der Projektarbeit sollen Experten des MCube Clusters zu innovativen Verkehrs-konzept und deren Auswirkungen in München befragt werden.
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Kontakt: johannes.lindner@tum.de, markus.dieter.fischer@tum.de
27.10.2023
Study Project: Study Project for traffic simulation
In this project, three goals are pursued: (1) to duplicate data and models from an existing (online) platform for (specified) offline studies, (2) to implement procedures to incorporate real-time data into testbed(s), and (3) to investigate data aggregation with respect to traffic control.
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Kontakt: johannes.lindner@tum.de
27.10.2023
Projektarbeit | Bachelorarbeit | Masterarbeit: Testbed für Verkehrssimulation
In dieser Projektarbeit werden drei Ziele verfolgt: (1) aus einer bestehenden (Online) Plattform Daten und Modelle zu duplizieren für (spezifizierte) Offline-Untersuchungen, (2) Verfahren zu implementieren, um Echtzeitdaten in Testbed(s) einzubinden, und (3) Datenaggregation zu untersuchen im Hinblick auf die Verkehrssteuerung.
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Kontakt: johannes.lindner@tum.de
26.10.2023
Forschungspraxis/Master's thesis for Microfluidics and Stem Cell Mechanobiology
We are looking for students to work in a stem cell mechanobiology project. The cells are known to sense mechanical cuess and their physical environemntal changes and translate these mechanical cues into biochemical signals. Stem cell fate is explored to be highly dependent on these mechanical forces. In this project, we are encapsualting single stem cells in alginate with microfluidics, 3D printing pressure chambers and applying specific forces on stem cells.
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Kontakt: nergis.iyisan@tum.de
17.10.2023
Physics-informed data-driven modelling of stress-strain curves for additively manufactured metals
Machine learning is increasingly applied in material science and engineering. Using its algorithms, it is possible to analyze the correlation between manufacturing parameters and material properties and build models that will reduce the need for empirical testing. This research project will focus on data-driven modeling of stress-strain curves using in particular symbolic regression. The data will be generated using experimental testing of additively manufactured metals. The goal is to create a model that describes the mechanical properties of a wide range of deformation parameters. One strategy is to integrate physics-based knowledge as demonstrated in the previous works.
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Kontakt: evgeniya.kabliman@tum.de
17.10.2023
High-throughput simulations of phase precipitations in additively manufactured Ni-based superalloys
Material simulations are an important part of modern materials science. Using computational methods, it is possible to calculate the material properties from fundamentals and thus design new materials for future industrial applications. This research project will focus on performing high-throughput simulations of material properties in additively manufactured Ni-based superalloys. In particular, the phase precipitations will be investigated in correlation with heat treatment parameters. For this, the in-house developed CalPhaD-based toolkit CAROUSEL will be applied.
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Kontakt: evgeniya.kabliman@tum.de
07.10.2023
Abschlussarbeiten, Bachelor- und Masterarbeiten
We are looking for students (w/m) interested in a Research Internship or Master's Thesis to investigate the rheological behavior of concentrated milk: From Filtration to Acid-Induced Gelation.
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Kontakt: thomas.goudoulas@tum.de
27.09.2023
Masterarbeit im Bereich Machine Learning zur Prozessüberwachung beim Rührreibschweißen
Im Bereich der Prozessüberwachung sollen Machine-Learning-Modelle zur Prozessüberwachung beim Rührreibschweißen entwickelt werden.
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Kontakt: fabian.vieltorf@iwb.tum.de
27.09.2023
Master Thesis: Aim-aware Collision Monitoring
This thesis will focus on developing an impact monitoring pipeline that incorporates pre-existing knowledge of impact and release motions to discriminate between expected and unexpected impacts. The student will implement a classification pipeline communicating with the AGX Dynamics physical engine and validating the controller using a Franka Emika dual-arm setup.
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Kontakt: alessandro.melone@tum.de
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