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position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science This Ph.D. project will develop and apply tensor-network and quantum-simulation
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cutting-edge systems design, AI at the edge, optimization, and shaping future mobile networks, this is your chance to dive in. A strong focus will lie on the development of optimization algorithms
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- integrating PET/CT images, radiology reports, and clinical data - to develop more accurate and trustworthy diagnostic tools. You will join a dynamic, interdisciplinary research group with extensive
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topology, algorithms and complexity, combinatorics, differential geometry and general relativity, dynamical systems, mathematical physics, mathematical statistics, number theory, numerical analysis
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of experiments, and discuss development of eg. user sample environments or analysis code for nanoprobe experiments As a scientist, you are ready to perform scientific research or nanoprobe method(s) development
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well as assist the course responsible teacher with related tasks, as in grading hand-in assignments, question hours, course development and other administration depending on the actual needs. The teaching
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to explore cutting-edge multimodal AI - integrating PET/CT images, radiology reports, and clinical data - to develop more accurate and trustworthy diagnostic tools. You will join a dynamic
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develop new algorithms where needed: this may include the incorporation of genomic or other omic data 2) An important second part of the post is helping to automate components of interpretation and
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comprehensive analysis of complex imaging mass spectrometry datasets (e.g., MALDI-MSI, DESI-MSI) using established computational frameworks Develop and implement novel algorithms and visual analytics for spatial
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optimization approaches will be developed. Main responsibilities Your major responsibility as doctoral student is to pursue your own doctoral studies. You are expected to develop your own scientific concepts and