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Sitemap > Schwarzes Brett > Abschlussarbeiten, Bachelor- und Masterarbeiten

Abschlussarbeiten, 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'.

18.03.2025
Abschlussarbeiten, Bachelor- und Masterarbeiten

Our Research Group on Pancreatic Neuropathy and Pain is actively seeking passionate Master’s and Bachelor’s students, as well as interns, specializing in biological and chemical sciences. Our work blends molecular biology with comprehensive analysis of human pancreatic tissue, advanced 3D culture models, live cell imaging, genetically engineered mouse models (GEMMs) of pancreatic cancer, and murine models of acute and chronic pancreatitis. We operate with the Collaborative Research Center 1321 (Modelling and Targeting of Pancreatic Cancer), the DKTK (German Cancer Consortium) Munich site, the CCC München (Cancer Comprehensive Center-TZM München), and the Pancreatic Cancer Alliance Munich (PCAM). Crucially, our research is driven by insides gleaned directly from human tissue and diseases, aiming to develop in vitro and in vivo models that faithfully replicate human conditions. Comprising an international team of biologists and clinicians, our mission is to unravel key disease mechanisms in pancreatic disorders, with the ultimate aim of devising innovative therapeutic strategies. Here are our current projects: 1. Exploring the role of the exosomes in cancer cell progression and metastasis. 2. Investigating the involvement of mast cells in pain perception during acute and chronic pancreatitis 3. Examining the immunological effects of chemotherapy in pancreatic cancer. 4. Establishing of multi-cellular 3D ex-vivo systems, including organoids ad ECM scaffolds. 5. Cloning of Gene-Therapy Tools for treatment of PDAC. Our methodologies encompass a wide range of molecular biology techniques such as nucleic acid isolation, PCR, protein isolation, real-time PCR, Western blotting, cloning, bacterial transformation and plasmid isolation. We also employ cell sorting using FACS, gene editing with CRISPR Cas9, multiplex immunohistochemistry, cell culture techniques, and ECM scaffold preparation. In addition to gaining practical experience with state-of-the-art research techniques, successful candidates will have the chance to contribute to groundbreaking projects at the forefront of cancer biology and translational medicine. Join our dynamic team and help pioneer discoveries aimed at enhancing patient outcomes in pancreatic diseases. For any inquiries, please don’t hesitate to contact Dr. Rouzanna Istvánffy via e-mail at rouzanna.istvanffy@tum.de.

Wenn Sie selbst eine Diplomarbeit ausschreiben wollen, lesen Sie bitte vorher unbedingt das 'Best Practice Manual Stellenanzeigen'.


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Kontakt: rouzanna.istvanffy@tum.de

17.03.2025
Measurement of Liquid-Liquid-Equilibria (LLE) of different solvents in electrolytes and biological systems


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Kontakt: hamzah.elfaitory@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

13.03.2025
CFD Simulation of an air or flue gas cleaning process by means of enzymatic katalysis

The aim of this research is to provide a catalytic formulation that generates enzymatically active surfaces for the detoxification of harmful halogenated alkanes. Toxic gases that cannot be captured by standard filtering technics such as fluorochlorohydrocarbons (CFCs) are converted into products that are harmless to the environment and health by means of enzymatic catalysis.
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Kontakt: b.huber@tum.de

13.03.2025
Multiphase CFD Simulation of different agitator geometries in bio- gas fermenters

A multiphase CFD Study of three different agitators in biogas plants has to be carried out. The two phases are a liquid, non-newtonian phase and a solid particle phase with different fractions of varying equivalent diameters. The transient simulation aims to analyze the particle distribution after a certain mixing time. Due to the high computing requirements the simulation will be carried out on the LRZ Linux cluster (HPC – High performance computing).
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Kontakt: b.huber@tum.de

13.03.2025
Geometric parameter study of different agitators in biogas fer- menters by CFD Simulation

A CFD Study of three different agitators in biogas plants has to be carried out. The effect of different installation angles on the mixed area and velocity distribution should be analyzed. Additionally various combinations of agitators in the fermenter should be analyzed aiming for the optimum setup. Due to the high computing requirements these calculations will be carried out on the LRZ Linux cluster (HPC – High performance computing)
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Kontakt: b.huber@tum.de

13.03.2025
Data analysis of PIV measurements and CFD simulations on the mixing process in biogas plants

A multiphase CFD Study of three different agitators in biogas plants has to be carried out. The two phases are a liquid, non-newtonian phase and a solid particle phase with different fractions of varying equivalent diameters. The transient simulation aims to analyze the particle distribution after a certain mixing time. Due to the high computing requirements the simulation will be carried out on the LRZ Linux cluster (HPC – High performance computing)
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Kontakt: b.huber@tum.de

11.03.2025
Master thesis in Molecular Oncology from May 2025

The research group of „Translational DNA damage modification” is actively looking for a Master student with a life science background to conduct thesis work on the topic of molecular oncology, translational chemotherapy and DNA damage modification starting in May 2025.
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Kontakt: yizhu.li@tum.de

04.03.2025

Logo project

Land use and climate change effects on insect biology


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Kontakt: Alejandra.parreno@tum.de

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