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well as interpretable AI approaches to develop clinically useful tools that can aid the diagnostic and therapeutic process in clinical care. Among many other projects, we are currently using support vector machines
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application domains are e.g., signal-/image processing and machine learning. Tasks: scientific research and development in designing and programming fied programmable gate arrays (FPGAs) for accelerating signal
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/software co-design and operating/runtime systems. Typical application domains are e.g., signal-/image processing, machine learning and control algorithms for robotics. Tasks: research and development in
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and your scientific skills, tasks will include: Invent, simulate, and prototype more efficient, specialized non-von Neumann computing hardware blocks for AI, optimization, probabilistic computing, and
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computing applications to build more energy-efficient technologies. Depending on the project area and your scientific skills, tasks will include: Invent, simulate, and prototype more efficient, specialized
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, establish cellular memory, and regulate plasticity. We leverage this knowledge to identify new epigenetic pathways for drug discovery. We use cutting-edge methods (multi-omics, single cell, live cell imaging
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3 May 2024 Job Information Organisation/Company Heidelberg University Hospital Department Department of Surgery Research Field Medical sciences » Cancer research Researcher Profile First Stage
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 22 days ago
the approaches (i) and (ii) regarding the prediction of tumour control # Calibrate radiomics software for improved processing of PET imaging # Harmonise PET image processing to reduce the impact of measurement
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and drivers to design the formulation and process of plant-based fermented food. This analysis will be formalised as a knowledge graph which serve as data to create a prototype of a serious game which
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) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100