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cancer care by developing artificial intelligence techniques for digital pathology data. The biopsy Gleason grading system is the most important prognostic marker for prostate cancer but suffers from
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intelligence techniques for digital pathology data. The biopsy Gleason grading system is the most important prognostic marker for prostate cancer but suffers from significant inter-observer variability, limiting
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of References for Languages (CEFR). Strong programming skills in languages such as Java and Python, including experience with development environments. Basic knowledge of digital twins. Established understanding
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developing artificial intelligence techniques for digital pathology data. The biopsy Gleason grading system is the most important prognostic marker for prostate cancer but suffers from significant inter
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pursuits converge. Within this project, the aim is to improve joint communication and sensing by utilizing the digital twin concept. A digital twin of 5G and future 6G networks may be approximated in its
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utilizing the digital twin concept. A digital twin of 5G and future 6G networks may be approximated in its simplest form by a radio propagation channel, together with transmit and receive units with
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), participating in the European Innovation Council’s Pathfinder Challenge for DNA-based digital data storage. As a doctoral student, you are expected to take a leading role in your research project under
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research support within digital image processing and analysis for life science applications. Read more at http://www.scilifelab.se/facilities/bioimage-informatics/ . Science for Life Laboratory
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. Renewable Energy, digitalization, and Artificial Intelligence tools. Within this PhD project, simulations and network analyzes will be done to study the flexibility potential and the impact on the power grid
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commercial transport companies, and even for smaller players (prosumers), not all potentials have been mapped through advanced technologies, i.e. Renewable Energy, digitalization, and Artificial Intelligence