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News Articles published within the last 30 days.
30.01.2026
Academic staff :
PhD Student (m/f/d)
The Leibniz Institute for Food Systems Biology at the Technical University of Munich (Leibniz-LSB@TUM) is a prominent member of the Leibniz Association and the research group Integrative Food Systems Analysis / Section III are currently looking for a committed PhD Student to start on 01/05/2026.
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Kontakt: recruiting.leibniz-lsb@tum.de
30.01.2026
Diplomarbeiten, Bachelor- und Masterarbeiten:
Master’s Student (m/f/d) - Thesis
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 Mechanoreceptors / Section II is currently looking for a committed Master’s Student of Biophysics/ Biochemistry/ Food Chemistry/ or related for the preparation of a Master's thesis to start in Summer/Fall 2026.
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Kontakt: recruiting.leibniz-lsb@tum.de
30.01.2026
Student assistants, internships, student research projects:
Master’s Student (m/f/d) - Thesis
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 Mechanoreceptors / Section II are currently looking for a committed Master’s Student of Biophysics/ Biochemistry/ Food Chemistry/ or related for the preparation of a Master's thesis to start in Summer/Fall 2026.
read more
Kontakt: recruiting.leibniz-lsb@tum.de
30.01.2026
Biete ...:
Korrekturlesen - Mehr als KI
Korrekturerlesen - Mehr als KI
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Kontakt: E-Mail: hofsaess@weiterbildung-korrekturen.de Tel.: 0171 9766354
29.01.2026
Academic staff :
Head of AI Core Unit / Data Scientist BioSysteM
We are looking for a scientist (m/f/d) with knowledge of data / AI science to set up and lead the AI Core Unit of the BioSysteM Cluster of Excellence as soon as possible. The position is initially for 4 years and can be extended until 31.12.2032.
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Kontakt: cpa@tum.de
29.01.2026
Diplomarbeiten, Bachelor- und Masterarbeiten:
Master’s Thesis: Feature Engineering for Wind Energy Forecasting
You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant research environment? Then let’s design the energy systems of the future together!
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Kontakt: jonas.betscher@tum.de
29.01.2026
Academic staff :
PhD Position in “AI-Enhanced Teleoperation for Safe and Transparent Remote Robot Control”
We are seeking an exceptional and highly motivated PhD candidate to join our team at TUM MIRMI for a PhD position in “AI-Enhanced Teleoperation for Safe and Transparent Remote Robot Control”.
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Kontakt: Dr. Hamid Sadeghian: hamid.sadeghian@tum.de
29.01.2026
Diplomarbeiten, Bachelor- und Masterarbeiten:
[Guided Research / Master's Thesis] - Interpreting Objects in the Operating Room for Surgical Phase Understanding
The objective of this thesis is to develop a model embedding context information of surgical scenes alongside global scene context to extract surgical phases and actions. Building upon recent advances in deep learning-based semantic segmentation and representation learning, the project investigates how object-level understanding can contribute to higher-level tasks such as surgical phase recognition and workflow modeling.
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Kontakt: hannah.schieber@tum.de
29.01.2026
Diplomarbeiten, Bachelor- und Masterarbeiten:
[Master's Thesis /Guided Research/Bachelor Thesis] - Surgical Scene Understanding using Panorama Imaging
This thesis aims to investigate surgical scene understanding using panorama imaging, with a particular focus on semantic segmentation, surgical phase recognition, and higher-level scene representations such as surgical scene graphs. The goal is to analyze whether panoramic visual context can improve robustness, generalization, and interpretability compared to conventional camera setups.
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Kontakt: hannah.schieber@tum.de
29.01.2026
Diplomarbeiten, Bachelor- und Masterarbeiten:
[Guided Research / Master's Thesis] - Semantic Scene Graphs for Gaussian Splatting
Semantic Scene Graphs for Gaussian Splatting - 3D Gaussian Splatting enables efficient reconstruction and rendering of complex scenes, yet currentpipelines allocate representational capacity globally, leading to suboptimal use of Gaussians across semantically diverse regions. Important objects may be under-reconstructed, while large but irrelevant background areas are over-represented, increasing training cost and limiting real-time applicability.
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Kontakt: hannah.schieber@tum.de
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