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Field
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of such dynamic interactions between molecules is one of the research lines at the ProbstLab. Beyond introducing new machine learning methodologies and computational representations of molecules, we collaborate
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UC Berkeley after obtaining her PhD from the University of Amsterdam for which she did research at MIT and Sigma Computing. Her general research interest is on the intersection of machine learning
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(Kingdom of the) [map ] Subject Areas: Stochastics, artificial intelligence and machine learning Appl Deadline: 2025/06/02 11:59PM (posted 2025/04/02, listed until 2025/06/03) Position Description: Apply
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University. Requirements A master’s degree in (applied) mathematics (or related), with a strong background in computational methods, preferably also using computational frameworks for machine learning in
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. Legal systems worldwide—and particularly within the European Union (EU)—are facing urgent challenges in addressing the ethical and societal impacts of AI-driven applications and machine-learning
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Machine Learning Problems > Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal > Experience in setup of research
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networks, or network science, and relevant background knowledge on methods in machine learning and AI. The successful candidate will focus on innovating the field of network analysis with AI methods
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publications, and assisting in organizing and presenting at workshops and conferences; Take relevant courses and training; Participate in the PhD program activities and the intellectual life of the Institute
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intelligence, or a related discipline. You have a strong interest in performing foundational algorithmics and machine learning research. You have mature mathematical knowledge and programming skills (e.g
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, neurotransmitters, or therapeutic drugs. The computational representation of such dynamic interactions between molecules is one of the research lines at the ProbstLab. Beyond introducing new machine learning