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learning to quickly draw actionable insights from various data streams. Stream Reasoning has numerous applications, such as in autonomous vehicles, robotics, web analytics, and the Internet of Things. In
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applications (e.g., to enable wearable robotics to proactively respond to the user’s activities). Deep learning has enabled promising results in various applications by automatically discovering complex
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. Eligibility criteria • PhD in life sciences (bioengineering, biomedical sciences, genomics or equivalent) with a track record of publications in peer-reviewed journals. • Experience with method development
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digital transformations in the domain of artificial intelligence, robotics, self-learning/smart algorithms, big data, data spaces, SOLID, blockchain. You are fascinated by the impact of technological
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dedicated clinicians. This doctoral project will be part of a joint PhD program with Hasselt University. KU Leuven will be the main institution. Project For the EU-funded Marie Skłodowska-Curie Actions (MSCA
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for international excellence. Eligibility criteria • PhD in life sciences (bioengineering, biomedical sciences, genomics or equivalent) with a strong publication record. • Experience in spatial genomics
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fundamental and applied scientific research. It is highly inter- and multidisciplinary focused and strives for international excellence. Eligibility criteria • PhD in life sciences (bioengineering, biomedical