AI-Assisted Metabolomics of Drug-Induced Changes in Cancer Cells
- Forschungsthema/Bereich
- Cell biology/ Artificial Intelligence
- Typ der Abschlussarbeit
- Master
- Startzeitpunkt
- 15.10.2025
- Bewerbungsschluss
- 15.01.2026
- Dauer der Arbeit
- 6 Monate
Beschreibung
Cancer drug resistance remains a major challenge, highlighting the need to understand how tumor cells adapt their metabolism to treatment. Understanding how cancer cells reprogram their metabolism under drug treatment is key to identifying biomarkers and developing targeted therapies. By combining high-field nuclear magnetic resonance (NMR) metabolomics with artificial intelligence (AI)-based analysis, this project aims to uncover hidden metabolic patterns that could guide more effective therapies.For this purpose, you will culture mammalian cancer cells, expose them to drug treatments, and analyze their metabolic changes using NMR spectroscopy. The resulting data will be explored with advanced AI and machine learning methods.
This is an interdisciplinary project at the interface of cell biology, metabolomics, and AI, offering the opportunity to gain experience across experimental and computational fields.
Voraussetzung
- Voraussetzungen an Studierende
-
- Your Tasks
- Culturing mammalian cancer cells under controlled conditions.
- Performing drug treatments under different regimens.
- Collecting and preparing supernatant samples for NMR analysis.
- Running high-field NMR measurements independently after training.
- Recording metadata (cell viability, culture conditions).
- Collaborating with the computational team applying AI models to metabolomics data.
- Your Profile
- Experience with cell culture techniques
- Willingness to learn and operate NMR spectrometers
- Interest in cancer biology and metabolomics.
- Knowledge of AI/ML is not required but welcome; training will be provided during the project.
- Careful, reliable, and detail-oriented working style in the lab.
- Studiengangsbereiche
-
- Ingenieurwissenschaften
Bioingenieurwesen
Chemieingenieurwesen & Verfahrenstechnik
Informatik
Maschinenbau - Naturwissenschaften und Technik
Biologie
- Ingenieurwissenschaften
Betreuung
- Titel, Vorname, Name
- Annamarija Raic
- Organisationseinheit
- IMT
- E-Mail Adresse
- annamarija.raic@kit.edu
- Link zur eigenen Homepage/Personenseite
- Website
Bewerbung per E-Mail
- Bewerbungsunterlagen
-
- Anschreiben
- Lebenslauf
- Notenauszug
E-Mail Adresse für die Bewerbung
Senden Sie die oben genannten Bewerbungsunterlagen bitte per Mail an annamarija.raic@kit.edu
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