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Field
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expertise, we are creating functional genetic maps using conditional CRISPR/Cas9-based single and higher-order knockout perturbations combined with single-cell expression profiling and imaging. We expect
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on the development of our real AI-based automated shuttle (see image) with Autoware -stack for deployment on public roads, while researching and developing dependable automated driving systems based on software and
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interactions between metabolism and the brain in mental disorders. This will involve experimental approaches including functional and structural MRI imaging, biomarker studies, as well as interventional studies
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, ATAC-seq, CUT&RUN, MERFISH, Visium), epigenomic data processing (chromatin accessibility, histone marks, enhancer mapping), multi-omics integration using Seurat, Signac, Harmony, ArchR or Scanpy, machine
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local activation), multi-timescale adaptation (local memory), and stimulus-specific adaptation (multi-task processing). While the co-optimization of dendrite-inspired functional circuits with emerging
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degree in computer science (or a related field) Rich experience in devising machine learning models, methods, and algorithms for computer vision and image processing. Scientific track record with
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and NV-centres in diamond. The characterisation methodology will be developed, feeding into the creation of a prototype device. Job requirements and responsibilities: Characterisation of novel chip
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underlying these processes remain poorly represented. This PhD project aims to fill that gap by using molecular simulations to quantify the interactions of SOM and EPS with water and minerals, and to connect
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to biomedical data is a plus Experience in image processing techniques, such as segmentation, is of advantage Ability to quickly grasp new concepts and work independently on complex problems Ability to work as
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partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab