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causative treatment in the patients. Work will employ genetic tools, manual and automated patch-clamp measurements, immunohistochemistry, confocal/STED imaging, light-sheet fluorescence microscopy, and
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: Programming in Python and/or R Data science (e.g., tidyverse, pandas) Machine learning (e.g., scikit-learn) Deep learning (e.g., PyTorch, Keras3) (Optional) bio-signal processing and brain imaging (e.g., EEG
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such as live-cell TIRF microscopy, super-resolution STED imaging, structure-based mutagenesis, and functional assays. The research related to this project will be performed at the Institute of Biology
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on leveraging deep learning and advanced image processing techniques to improve the current tools for biomonitoring of aquatic ecosystems. This position involves the development and application of machine
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assistant and specialist candidate. Preferred selection criteria Documented experience with processing and analysis of neuron imaging data, including calcium or voltage imaging data Proficient in techniques
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is to research, develop and improve the understanding and performance of processes enabling the utilization of space resources with an initial focus on the Moon. To find out more about ESRIC activities
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network application that enables real-time control and video transmission for remote vehicle operation. The project will develop a prototype, rigorously tested in both lab environments and real-world
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PhD Student (f/m/d) for RTG Supracolloidal Structures - from Materials to Optical and Electronic ...
, pharmacy, immunology, medicine and IT develop innovative radiopharmaceuticals and novel tools for functional characterization, improved imaging and personalized treatment of tumors. The Department of Life
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optical and chemical tools with classical genetic techniques and advanced image analysis to study cytoskeletal force dynamics quantitatively. A key focus is understanding how microtubules contribute
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characterization. Molecular, cell biological, physiological, histological examinations of pulmonary emphysema or fibrosis, with advanced imaging techniques and analyses. Examinations in pre-clinical disease models