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information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your Job: Develop 3D+t image reconstruction methods in a cell microscopy setting using image sequences as well as focus stacks
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, method-driven theory to application-driven research. Please find more information about our institute here: https://www.fz-juelich.de/en/ias/ias-8 Your tasks in detail: Review existing literature, collect
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results and to make parameter estimation more efficient. The project will apply and evaluate these new methods at different sites and time periods, compare them with established approaches, and finally
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-of-the-art machine learning and computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus
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sites and time periods. Use the newly developed tools to estimate key ecosystem and land-surface parameters, and compare the results against existing model–data fusion methods. Apply the improved
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at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering