During protein synthesis, amino acids form peptide bonds through reactions between their amino (NH₂) and carboxyl (COOH) groups. Interestingly, small carboxylic acids such as lactate, acetate, or citrate also possess COOH groups and can form N-acyl or pseudopeptide conjugates with amino acids.

This thesis explores conditional diffusion models for cardiac MRI super-resolution by leveraging auxiliary information such as routine localizer scans. Despite their low quality, localizers provide comprehensive 3D coverage. The goal is to reconstruct high-quality images from these scans, narrowing the gap between non-diagnostic and diagnostic MRI and enabling faster, potentially localizer-only cardiac imaging workflows.

Are you curious about how molecular details hidden in tissues can reveal key insights into disease? This thesis project offers you the chance to explore N-glycomics in tumors through mass spectrometry imaging.

Master's thesis in the area of affinity chromatography.

Super-Resolution Cardiac MRI using Conditional Diffusion Models

The Leibniz Institute for Food Systems Biology at the Technical University of Munich (LeibnizLSB@TUM) is a prominent member of the Leibniz Association and the research group Transcriptome & Proteome Profiling / Section I is currently looking for a committed Master’s Student for the preparation of a Master's thesis for a duration of 6 months.

Concrete LLM-related topics including novel architectural designs, large-scale pretraining and deployment, parameter efficiency, dynamic neural network, etc.

Voltage Hold Analyse von Lithium-Ionen-Zellen bei hohen Temperaturen am Lehrstuhl für Elektrische Energiespeichertechnik

Master Thesis on Spatial Omics at the Theislab

Concrete topics include Mid-Training Paradigms, Large Language Models, LLM Reasoning etc.

Building on Social Comparison Theory and emotion theories, the goal of this master's thesis is to explore the emotions that might account for positive or negative effects of upward social comparisons on reduced consumption behavior. You will employ a qualitative research design (e.g. focus groups) with relevant informants. The focus is on the exploration of emotions after social comparisons with target persons who act particularly sustainable in terms of reducing overall consumption. By exploring informants' subjective experiences, you will categorize and analyze the specific emotions (such as benign envy, malicious envy, shame, and inspiration) that arise from the comparison and may subsequently affect informants' the decision to consume less. Through this research, you will gain insights into how behavioral interventions and public policy promoting sustainable and reduced consumption can be refined by targeting specific emotional states via social comparisons.

This thesis explores how VLM-based scene analysis can be combined with RL-based end-to-end driving to improve decision-making in autonomous driving tasks. The project will be developed in CARLA and later tested on a real F1TENTH racing car, offering the student a rare opportunity to deploy advanced algorithms on physical hardware such as Jetson Orin / Nano.

Robot Foundation Models use visual, multi-modal, and language inputs to perform complex manipulation tasks. This data-driven approach to robot control has shown tremendous success. Current research focuses on reliable task fulfillment, sample-efficient learning, and novel training strategies. We offer several thesis on the topic. Please find all information and the thesis announcement here: https://nextcloud.in.tum.de/index.php/s/dpJ8wL5rPQso5NN

Deep Reinforcement Learning (DRL) enables robots to learn optimal control strategies through interaction with their environment. Current research focuses on sample-efficient learning in the real world, finetuning foundation models, and sim-to-real transfer. We offer several thesis topics in these areas. Please find all information and the thesis announcement here: https://nextcloud.in.tum.de/index.php/s/2N6xY7L7pqC5rP3

Die Untersuchung der Alterung von Lithium-Ionen-Zellen gehört derzeit zu den wichtigsten Forschungsthemen im Bereich der Energiespeichertechnologie.

We offer a thesis on "Software Engineering for Educational Purposes – Embedded Device" Focus: enhancing an educational internet radio (embedded system, audio streaming, real-time processing). Required: C skills, embedded experience. Extras: MP3, HTTP/S, IPv6. Benefits: expert guidance, modern tools, hands-on, publication support. Apply with CV, cover letter, and start date.

Through qualitative methods, this thesis explores which emotions arise when people compare themselves to highly sustainable individuals and how these emotions shape their decisions to reduce consumption.

Concrete topics in AI Agents

The project focuses on the microbial production of egg proteins using Bacillus subtilis. By leveraging genetic engineering and precision fermentation, we aim to develop sustainable, animal-free alternatives to conventional agriculture. The work combines molecular biology, strain development, and bioprocess design.