Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten
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16.07.2025
Studentische Hilfskraft – Innere Medizin
Die Innere Medizin des TUM Klinikums Rechts der Isar sucht zum nächstmöglichen Zeitpunkt eine studentische Hilfskraft.
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Kontakt: jobs.med3@mri.tum.de
16.07.2025
Studentische Hilfskraft (m/w/d) Sekretariatsunterstützung in der Klinik für RadioOnkologie und Strahlentherapie gesucht
Studentische Hilfskraft (m/w/d) Sekretariatsunterstützung in der Klinik für RadioOnkologie und Strahlentherapie gesucht
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Kontakt: sabrina.linder@mri.tum.de
16.07.2025
Tutor for Human-Robot Interaction seminar
We are seeking a tutor (m/f/x) for our interdisciplinary seminar “Human-Robot Interaction” for the Winter Term 2025/26.
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Kontakt: jakob.reinhardt@tum.de
15.07.2025
2 Studentische Hilfskräfte für das Urban Digitainability Lab am TUM Think Tank
Der TUM Think Tank sucht ab sofort zwei studentische Hilfskräfte zur Unterstützung im Urban
Digitainability Lab an der Hochschule für Politik München.
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Kontakt: fiona.breucker@tum.de; justus.schuchardt@hfp.tum.de
15.07.2025
Studentische Hilfskraft (m/w/d)
Wir suchen für unser Team ab September 2025, in Teilzeit, eine/n Studentische Hilfskraft zur Unterstützung des DFG Projekts „Grete Hermann: From Mathematics and Quantum Physics to Politics and Ethics“ (geleitet von Andrea Reichenberger, in Kooperation mit der internationalen Arbeitsgruppe Women in the History of Quantum Physics WiHQP).
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Kontakt: technikgeschichte@tum.de
15.07.2025
Studentische Hilfskraft für das Studienkoordinationsbüro des Elite M.Sc. „Biomedical Neuroscience“
Das Koordinationsbüro des Elite-Masterstudiengangs „Biomedical Neuroscience“ sucht eine studentische Hilfskraft zur Unterstützung der administrativen und organisatorischen Betreuung des Studienganges. Arbeitszeit ca. 8 Stunden die Woche am Campus Biedersteinstrasse (vor Ort).
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Kontakt: bioneuro.sto@mh.tum.de
14.07.2025
Job description: Student Assistant (Research)
Kontakt: application.dat@ed.tum.de
11.07.2025
Student Assistant (m/f/d) to support project-based seminar (20h/week)
Description
We are currently looking for a HiWi to support us with the TUM Project Week Applied Surgineering. As part of this seminar, students will visit surgeries at the TUM Klinikum Rechts der Isar to identify friction points in clinical procedures during surgery and work to develop prototypical technical solutions to real problems.
You will help us to prepare the material and slides for the students, be available as a contact for students, provide support for the students during the realization of the Project Week, as well as support the involved institutions. You’ll get the chance to gain insights into medical and technical research, accompany surgeries in the operating room, and work in an interdisciplinary environment to help teach the next generation of young researchers.
Your contract will last from 01.09.2025 to 31.12.2025 and comprise 20 hours a week. Your work will be split between the TUM Klinikum, the involved chairs, and remote work. The project week itself will take place at the TUM Klinikum in late November.
Requirements
Studying a Master’s Program in a technical or medical field at TUM, the ability for self-organized work, willingness to familiarize yourself with multidisciplinary topics, basic knowledge of robotics and programming, and a good command of the English language are pivotal for this role.
Experience with medical technology & robots, prior experience with teaching or tutoring, and fluency in German are desirable but not necessary.
Contact
If you are interested in the position, please send your CV, Transcript of Records, and Application to the following email address:
appsurg.lfe@ed.tum.de
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Kontakt: appsurg.lfe@ed.tum.de
11.07.2025
Master Thesis: Machine Unlearning for Digital Pathology
Kontakt: reza.nasirigerdeh@tum.de
10.07.2025
Master Thesis: Multimodal Transcriptomic/Histology AI for PDAC Precursor Detection
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.
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Kontakt: peter.schueffler@tum.de