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-scale modelling, machine learning) High resolution analysis, monitoring of chemistry, structure and transformations at the atomic scale of buried interfaces and defects by correlated experimental
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coordinate during development and how their dysregulation contributes to neurodevelopmental disorders (NDDs). Using stem cell culture, imaging, genomic, and epigenomic approaches, the successful candidate will
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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to identify targets for the development of rejuvenation strategies. We have established a large dataset of single cell whole transcriptomic analysis of hematopoietic progenitors and bulk RNAseq of endothelial
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processes that produce energy and raw materials. The Institute of Radiopharmaceutical Cancer Research develops radiotracers for imaging of cancer biomarkers and personalized therapies. In a joint effort of
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into goal-directed behavior. We use state-of-the-art approaches including functional brain imaging, automated behavioral analysis, and computational neuroanatomy. We value a collaborative atmosphere, early
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, PMID30224749 and PMID32743075 . Requirements M.Sc. degree in molecular-, cell-, structural biology, computer science, digital image analysis or related fields that included minimum six months long
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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microscopy and automated image analysis Basic knowledge of toxicology (e.g. through DGPT training courses or relevant studies / professional experience) Experience in establishing test methods Conscientious