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Sitemap > Schwarzes Brett > Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

Hier finden Sie Stellen für Studentische Hilfskräfte, Praktikantenstellen an der TU München sowie Studienarbeiten
1 | 2 | 3 | 4 | 5 | ... | 16 Die nächsten 10 Artikel
08.05.2024
Das International Office der TUM School of Management sucht eine studentische Hilfskraft (w/m/d)

ab Mitte Juni 2024 für mind. 6 Wochenstunden sucht das International Office der TUM School of Management eine studentische Hilfskraft (w/m/d) im Bereich incoming exchange
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Kontakt: zuzana.zechovska@tum.de

07.05.2024
Studentische Hilfskraft (m/w/d) für ExploreTUM – Von der Schule zur Universität

ExploreTUM – ein Team der Abteilung „Studienberatung und Studieninformation“ des TUM Center for Study and Teaching – sucht ab Oktober 2024 studentische Hilfskräfte (m/w/d) für 6 bis 8 Stunden/Woche. Wir wünschen uns eine langfristige Zusammenarbeit.
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Kontakt: exploretum@tum.de

06.05.2024
Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten


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Kontakt: mar.vergara.martin@tum.de

02.05.2024
Student Research Assistant(s) for Project on AI Ethics Literacy in Educational Technology w/ Focus on Web App Development


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Kontakt: matthias.grabmair@tum.de

02.05.2024
Development of Computer Vision module for environment perception and motion planning (Hiwi, Research Internship)

Vision is a core component of today’s autonomous robots systems, enabling the robot to have a perception of the environment and interact with it. The main focus of this work is to create the vision pipeline for an assistive-robotics platform that will enable people with disabilities to perform activities of daily living.
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Kontakt: Dipl.-Ing. Ioannis Xygonakis ioannis.xygonakis@tum.de -- Riddhiman Laha riddhiman.laha@tum.de

02.05.2024
BCI-Gym: Development of Virtual Environments for Brain-Computer Interface users training (Hiwi, Research Internship)

The potential for invasive Brain Computer Interface (iBCI) systems to dramatically improve the livelihoods of those who have lost motor functionality has increased in recent years. This improvement has emerged due in part to advances in the field of deep learning, but the performance of these models varies significantly depending on the quality of the data collection and the design of the experiment. For iBCI participants who have lost the ability to move, the decoding models will be attempting to decode imagined movement, rather than actual movement. To have the best chances at decoding imagined movement, an effective and realistic virtual environment is essential as it increases the chance that the iBCI participant effectively embodies the virtual arm, thereby allowing for synchronization between the collected neural data and the imagined arm position. This position allows the researcher to work alongside experts in neuroscience, machine learning, and robotics in a supportive and resource-rich environment.
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Kontakt: Dr. Alexander Craik - alex.craik@tum.de -- Dipl.-Ing. Ioannis Xygonakis - ioannis.xygonakis@tum.de

26.04.2024
Master Thesis: Deep Learning for Brain Tumor Modeling

We model brain tumor growth for improved radiotherapy planning based on 3D magnetic resonance images (MRI). Partial differential equation (PDE) based models have the potential to personalize glioma therapy. However, calibrating these models to individual patients is computationally expensive using traditional numerical solvers and classical optimization techniques. First tests with simple tumor models show promising results using differentiable deep learning based solvers for fast, gradient based optimization. Thereby a neural network inputs the specific tumor parameters like growth and diffusion rate and predicts a tumor cell concentration inside the brain [1]. To calibrate this model for a specific patient, the input parameters are optimized utilizing the differentiability of the network with respect to the input. Your role would be to utilize state-of-the-art network architectures to develop a deep learning-based solver for more realistic brain tumor growth models.
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Kontakt:  j.weidner@tum.de

26.04.2024
Bachelor / Master Thesis: What was before the brain tumor? Recovering the original state of the brain for digital brain tumor twin.

Recovering the original state of the brain for digital brain tumor twins using MRI.
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Kontakt:  Jonas Weidner j.weidner@tum.de

24.04.2024
IT-Werkstudenten (m/w/d) für Ubuntu Linux Deployment Projekt gesucht

ITO School of CIT sucht Werkstudenten (m/w/d) für IT-Automation Projekt (Puppet, Ansible, Ubuntu)
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Kontakt: fedorov@tum.de

22.04.2024
Web developer HiWi position for autonomous driving website


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Kontakt: eivind.meyer@tum.de

1 | 2 | 3 | 4 | 5 | ... | 16 Die nächsten 10 Artikel

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