University of BerneAcronym | unibe | Homepage | http://www.unibe.ch/eng/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | | Current organization | University of Berne | Child organizations | |
Open OpportunitiesFor this master theses project, you will design the new partial polarimetric imaging system by targeting a simplified and real-time acquisition instrument. You will built and carry out the proof of concept of the new instrument using brain specimens. Finally, you will validate the partial polarimeter comparing results extracted from other IMP. - Optics and Opto-electronic Physics, Surgery
- Master Thesis
| In this project, the ideal candidate will have to adapt an existing deep learning codebase and fine-tune an image segmentation network based on semi-supervised learning to enhance tumor tissue detection. - Computer Vision, Image Processing, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition
- Master Thesis
| We are looking for a highly motivated MSc student in computer science to help us developing a fully functional research prototype for Mueller polarimetric imaging (MPI) system to be employed on human tissues for surgical analyses, feedback and visualisations. The development will be supervised by PD Dr. Richard McKinley, in strong collaboration with the NVIDIA Holoscan Team.
This is a unique internship opportunity to bridge the gap between academia and industry within a fully translational research project in collaboration with Inselspital and University of Bern. - Information, Computing and Communication Sciences
- Internship, Semester Project
| For this master thesis project we intend to address the important requirement for fast acquisition time by targeting a real-time system. For that, your main task will be to build a replica instrument based on an existing IMP system under the guidance of experts in polarimetry. - Optics and Opto-electronic Physics
- Internship, Master Thesis, Student Assistant / HiWi
| The project will utilize radar sensor data, specifically time-series data of 3D point clouds and range-Doppler
maps, to analyze body and micro-movements. Initial data preprocessing will involve normalizing and filtering.
Subsequently a model will be developed to extract breathing rate using algorithms based on Fourier transform,
wavelet transform, and artificial intelligence. The model will be validated against wearable monitoring methods
using data from a clinical study involving 40 participants, encompassing over 480 nights of sensor data. - Artificial Intelligence and Signal and Image Processing, Biomechanical Engineering, Clinical Engineering, Computer Software, Rehabilitation Engineering
- Master Thesis
| For this project, the student will utilize datasets previously collected from farrowing sows in a controlled farm
setting. The data will be cleaned and pre-processed to remove noise and artifacts. The student will explore signal
and image processing techniques that can be applied to process radar data, e.g., 3D points with corresponding
velocity information (point cloud) and range-doppler maps. Then, the student will design a workflow to identify
farrowing patterns, i.e., the time of farrowing and the delivery intervals between piglets with the help of radar
signals. Lastly, Machine learning techniques, including supervised pattern recognition models, will be employed
to analyse the data and develop an alert system capable of identifying abnormal farrowing patterns. - Artificial Intelligence and Signal and Image Processing, Biomechanical Engineering, Clinical Engineering, Computer Software
- Master Thesis
| Forschungspraktikum/ Masterarbeit
"Erforschung des Gedächtnisses bei Patient:Innen mit Depressionen"
- Clinical Sciences, Cognitive Science, Neurosciences, Psychology
- Internship, Lab Practice, Master Thesis, Semester Project
| New methods for tissue sample analysis such as Polarimetry are on the rise. The future promises systems that allow performing analysis of resected tissues right next to the operating room in real-time. Application examples include the analysis of tumour borders where a real-time feedback is essential as it influences the decision weather more tissue should be resected or not. The resected tissue samples have sizes and thicknesses that not necessarily match the field of view of the imaging system, making scanning of the sample a necessity. Thus, we are developing an automated positioning stage that will allow placement of the tissue sample with respect to an imaging system in 4 degrees of freedom (3 translation, 1 rotation), reducing manual workload and increasing efficiency. You will develop a motorized stage that automatically places tissue samples with respect to the imaging system and allow for an automated image acquisition process. - Engineering and Technology, Medical and Health Sciences
- Master Thesis
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