28.03.2025

Hybrid Reinforcement Learning with Baseline Controllers

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Kontakt: olivia.garland@tum.de

25.03.2025

Master Thesis: Multimodal AI for PDAC Precursor Detection in Pathology

The Schuefflerlab for Computational Pathology at the TUM Institute for Pathology is offering a CIT Master’s thesis in the field of medical machine learning and pathology AI (artificial intelligence). The study explores the potential unimodal and multimodal deep learning models to predict precursors of pancreatic ductal adenocarcinoma (PDAC) from histology and/or spatial transcriptomics data. Please find the attached PDF for a detailed description.

Kontakt: peter.schueffler@tum.de

20.03.2025

Semester- oder Masterarbeit: Untersuchung des Einflusses der Rasenfeuchte auf die Traktion beim Fußball

Ab sofort kann eine Masterarbeit an der Professur für Sportgeräte und Sportmaterialien (Standort Hochbrück/Forschungszentrum Garching) gestartet werden. Die experimentelle Arbeit eignet sich für Studierende aus dem Maschinenwesen, aber auch der Sportwissenschaft. Die genaue Beschreibung ist als PDF angefügt.
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Kontakt: valentin.wohlgut@tum.de

20.03.2025

Masterarbeit: Mehrköpersimulation des Einflusses der Schuh-Bodeninteraktion auf die Gelenkbelastung

Ab sofort kann eine Masterarbeit an der Professur für Sportgeräte und Sportmaterialien (Standort Hochbrück/Forschungszentrum Garching) gestartet werden. Die simulative Arbeit eignet sich für Studierende aus dem Maschinenwesen, aber auch der Sportwissenschaft. Die genaue Beschreibung ist als PDF angefügt.
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Kontakt: valentin.wohlgut@tum.de

19.03.2025

Advancing Arthroscopic Navigation: Evaluating SLAM Algorithms for Enhanced Spatial Orientation

This project aims to evaluate and benchmark existing Simultaneous Localization and Mapping (SLAM) algorithms for arthroscopic surgery, addressing challenges such as spatial orientation and navigation within the joint space. The study will focus on testing state-of-the-art camera-pose estimation techniques on arthroscopy data, analyzing their performance in terms of accuracy and robustness.

Kontakt: hex-thesis.ortho@mh.tum.de, hannah.schieber@tum.de

19.03.2025

Master Thesis: Pathology Foundation Model for Immunohistochemistry (IHC)

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Kontakt: jingsong.liu@tum.de

19.03.2025

(Intra-Operative) Mixed Reality Visualization of Segmented Vessels

This research investigates the visualization of small blood vessels for intraoperative guidance using mixed reality (MR) headsets. The goal is to provide real-time, in-situ anatomical guidance to help medical personnel quickly locate and interact with critical structures during surgery.

Kontakt: hex-thesis.ortho@mh.tum.de, constantin.kleinbeck@tum.de

19.03.2025

AI guided automatic CT Data Transfer Function Parametrization for Path Tracing Visualization

In volumetric visualization, transfer functions are usually manually parameterized to map CT scan densities to specific colors, enabling differentiation of anatomical structures in ray marching or path tracing. This project explores automating this mapping to account for variations in captured data and streamline the process.

Kontakt: hex-thesis.ortho@mh.tum.de, constantin.kleinbeck@tum.de

19.03.2025

Evaluation of Augmented Reality Assembly Guidance in the Operation Room

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.

Kontakt: hex-thesis.ortho@mh.tum.de, julian.kreimeier@tum.de

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'.

Kontakt: rouzanna.istvanffy@tum.de