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-dimensional data and for dimension reduction. Recent methodological developments have extended probabilistic principal component models to settings involving multiple datasets, for datasets spanning biobanks
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, supervising Bachelor and Master theses, and tutoring students. What do we require? You are/have an enthusiastic, motivated and dedicated scientist with a (research) master’s degree with relevant experience in
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-studies, mixing quantitative and qualitative methods to understand the impact of restoration on different values for society Where to apply Website https://www.academictransfer.com/en/jobs/360262/phd
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: Conduct original research within the fields of Semantic Technologies and Artificial Intelligence, resulting in a PhD thesis. Collaborate with other PhD candidates, postdocs, and societal partners across
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on numerics and analytics, an interest in modeling, and a genuine interest in engaging in the biological system and working closely with our collaborators Job requirements Masters in Physics
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the main units of information are pairs or groups of nodes connected by edges. As network data becomes increasingly available across scientific domains, there is a need for principled models to analyze
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evaluation of multi-disease tests, and test this using AI applications in radiology as a practical case study. Where to apply Website https://www.academictransfer.com/en/jobs/360280/phd-position-developing
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asset. What do we offer you We offer you the opportunity to work in an intellectually stimulating and teamwork-oriented environment. We aim to provide tailor-made and careful supervision with the main
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requirements and stringent power constraints are an explicit focus point of the group. NES-Lab focusses on design, analysis, and optimization of reliable and low-power embedded networks as a main building block
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work together on three main themes: the energy transition, sustainable aerospace, and safety and security, with the aim of tackling climate change and contributing to the independence and security