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Qualities:You are a computer scientist, a computational biologist or a computational chemist with proven expertise in implementing machine learning methods in Python. You write or have written your master's
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lithium carbonate or lithium hydroxide, an estimated 40–70% of the lithium extracted from ore is lost in wastewater streams. Addressing this inefficiency is vital to building a more sustainable and circular
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to look for empirical relationships and decipher noise or signal > Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new
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(preferably python); has experience with methods and models to estimate techno-economic potential of renewable energy technologies; has knowledge and interest in the energy transition. Having detailed knowledge
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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and
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five Dutch universities: the University of Twente, the University of Groningen, Leiden University, Radboud University, and Delft University. The Formal Methods and Tools (FMT) group at the University
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explanations from machine learning models. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve using tools from
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the programme directorates, is responsible for developing and providing the right engineering expertise, tools, methods and standards for the development of future projects. The role of the Division’s AI and Data
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assumptions that need to be made in order to solve or estimate the model, and understand their implications; Develop methods necessary to extract research results from data; Present research findings
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in applying causal estimation methods in healthcare. You will have the opportunity to work on a range of projects within your PhD including a collaborative initiative funded by the Innovative Health