General information
We are looking for a motivated student for a 6-9 months project in Prof. Heuer’s Behavioural Neuroscience Lab (http://behavioural-neuroscience.com/). We have two projects available:
- Automated analysis of behaviour using DeepLearning. The student will use DeepLearning to analyse motor deficits in a preclinical rodent model of Parkinson's disease. The tasks carried out by the student will include mainly programming, training and testing a DL network with images/videos we provide. Some novel tests are currently being developed which might be included depending on progress being made. Additionally we will offer to teach several biological techniques such as histological analysis of brain sections (DAB/Fluorescent staining, microscopy, cell counting) and data analysis.
II. Image segmentation for the quantification of cells in neuronal tissue using Deep Learning. The student will use convolutional neural networks and adaptive segmentation algorithms to develop an interative deep learning based stereology workflow. Side projects can include qualitative aspects of image analysis such as cell type identification, localization, or developmental changes in morphology.
We are lookning especially for students from engineering, computer sciences and mathematics who are interested in applying their skills to a neuroscience environmen. Also students with a programming background from other disciplines are encouraged to apply.
All results will be used for co-authorship in a publication.
What we are looking for:
- Proficiency with Python and basic libraries for machine learning (e.g. PANDAS and Scikit-Learn)
- Experience with TensorFlow
- Indepence in driving the implementation of DL into our projects.
- Working in teams
We are relative flexible with the exact starting/finishing dates.
