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Technical University of Munich

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News Articles published within the last 30 days.

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08.12.2025
Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten:
Discover How Wasps Sense the World   

Explore the Hidden World of Wasp Antennae! Join us to uncover how jewel wasps sense pheromones by analyzing their antennal microstructures with high-resolution electron microscopy. Investigate sex- and species-specific differences to reveal the evolution of chemoreception. Flexible start, thesis/internship options.
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Kontakt: jan.buellesbach@tum.de

08.12.2025
Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten:
Unlock the Secrets of Wasp Courtship   

Solve a 50-Year Mystery! Why do jewel wasp females say “yes” only when males nod? Join us to uncover the hidden pheromone behind wasp courtship using cutting-edge chemical detection and behavioral assays. No chemistry experience needed—just curiosity and precision! Flexible start, thesis/internship options.
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Kontakt: jan.buellesbach@tum.de

08.12.2025
Nichtwissenschaftliches Personal:
Chemielaborant, chemisch.-technischer Assistenten (m/w/d)   

Das cbm · Centrum Baustoffe und Materialprüfung der Technischen Universität München mit seinen Standorten in München-Pasing und Garching-Forschungszentrum ist eines der bedeutendsten Forschungs- und Prüfinstitute für Baustoffe in Deutschland. Für die Arbeitsgruppe Chemie suchen wir zum nächstmöglichen Zeitpunkt eine Verstärkung im Chemielabor.
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Kontakt: harald.hilbig@tum.de

06.12.2025
Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten:
Semester / Bachelor / Master thesis: “The biomechanics of human body during balance on a wobble board and gait perturbed” (70% experimental, 30% theoretical)   

Maintaining joint stability and balance is key for human movement, yet current datasets rarely combine EMG, GRF, and MoCap, limiting biomechanical modeling. This thesis will collect a high-quality multimodal dataset capturing muscle co-contraction during wobble-board balancing and controlled gait perturbations, providing a strong basis for future work, including machine learning models of neuromuscular responses.
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Kontakt:  Gheorghe Lisca gheorghe.lisca@tum.de

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