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Field
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coding the appropriate algorithms and methods that implement the novel concepts and model. Gathering experimental or observational data to test hypotheses or highlight the strength and boundaries
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, and valued across scientific, technological, and creative domains. Potential PhD projects may investigate how human and algorithmic actors interact in generating and assessing innovations, and how
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., term rewriting) to algorithmic optimizations (e.g., group level algorithms), and to hardware optimizations (e.g., automated pipelining). The PhD student will be supervised by Nusa Zidaric. Key
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limitations. The field of interpretable machine learning aims to fill this gap by developing interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data
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, and Máxima Medisch Centrum focused on the development and implementation of analytical assays and decision support algorithms in clinical practice. Additionally, the project involves collaborations with
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jointly embedded in the research groups of Dr. Sid Kumar (Mechanics, Materials, and Computing group) and Dr. Georgy Filonenko (Functional Polymers and Sensors group). Research group of Dr. Sid Kumar
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Polymers and Sensors group). Research group of Dr. Georgy Filonenko: Functional Polymers and Sensors group: www.tudelft.nl/me/over/afdelingen/materials-science-and-engineering/research/functional-polymers
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models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data mining has allowed us to obtain insights from large amounts of data for decades, and it is worth
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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interpretable models and algorithms for learning from data. Meanwhile, the field of knowledge discovery and data mining has allowed us to obtain insights from large amounts of data for decades, and it is worth