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to acquire different kinds of images on large numbers of iPS cells in culture; machine learning algorithms and other image analysis strategies may be used to extract and test image features as predictors
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types. Your algorithms will first be evaluated through simulation using real operational datasets, and later deployed and tested at two physical facilities: a kW scale testbed at TU Delft’s Green Village
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within the Norwegian Center on AI for Decision (aiD), benefiting from broad and divers expertise, and strong industrial connections. The project will have theoretical and algorithmic developments, software
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precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related
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that accounts for ion pairing in a consistent manner Apply the developed equation of state for different applications, including liquid-liquid equilibria, where a robust and sophisticated algorithm may need to be
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
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information exchange. In this project, you will explore different facets of the following problems • Geometric interpretation of a distributed nonlinear controller in terms of controllability and reachability
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. The project will have theoretical and algorithmic developments, software developments, and industrial case studies. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out
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organised around three main themes: AI and Data Science, Discrete Mathematics and Algorithms and Logical Methods. The School is particularly interested in supervising research that aligns with the work of the
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-ready control of electromagnetic waves. Unlike current solutions—which are energy-intensive, complex, and costly—MetaTune proposes unified tuning mechanisms, innovative materials, and cost‑effective