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image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks Investigate instance and panoptic segmentation for endosymbionts and track them over time Implement
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Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding
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rupture, which is one cause of a stroke and thus the prediction of plaque rupture is very relevant. The steps in the development of surrogate models are building data-driven models from medical imaging
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computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer science, or mathematics (or a related field), with a focus on robot vision and control, image processing
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related in space and time and to behavioral events. Core Tasks: Getting familiar with the experimental data and the concepts of neuronal coding, and Elephant Analysis of the parallel rate data for
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/ProvinceSaarlandCitySaarbrückenPostal Code66123Geofield Contact State/Province Saarland City Saarbrücken Website https://www.uni-saarland.de/lehrstuhl/munz.html Street Campus A2 3 Postal Code 66123 E-Mail dominik.munz@uni-saarland.de
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. Infectious Diseases Prevention and Control M.Sc. Medical Imaging Technology M.Sc. Pharmaceutical Sciences Master‘s Degree in Law M.Sc. Electronics and Computer Engineering Al-Quds Open University M.Sc