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vision to reduce algorithmic complexity by orders of magnitude, e.g. by tracing paths of trees and extraction from knowledge bases (KBs), as opposed to pure DL Defining specific CSK-premises (in
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). Information about the Cresswell group can be found here: https://ccri.at/research-group/cresswell-group/ Your responsibilities Analysis of rich, state-of-the-art datasets: You will analyze multiple data types
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). Information about the Cresswell group can be found here: https://ccri.at/research-group/cresswell-group/ Your responsibilities Analysis of rich, state-of-the-art datasets: You will analyze multiple data types
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new generation of perceptual foundation models by contributing advanced perceptual pre-training and fine-tuning algorithms. What you will do You will carry out research and development in the areas
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-tuning algorithms. What you will do You will carry out research and development in the areas of perceptual foundation models, using advances in deep machine learning and computer vision. The goal is to
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. An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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| Microscopy Our Research As the main providers of cellular energy, mitochondria are essential for metabolism and sustaining life. Mitochondrial dysfunction is associated with multiple pathologies, ranging from
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within a species, going beyond the limitations of single-reference genomes. By integrating multiple genomes from different individuals or populations, pangenomes can provide a more comprehensive