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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
an excellent opportunity to study the Greek language as written by non-scholarly writers in antiquity. This project will collect, annotate and study the ancient corrections in this corpus to learn more about the
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of mycobacterial porins Work and profile Mycobacterium tuberculosis is a leading cause of mortality worldwide. A critical factor in its survival and pathogenicity is the ability to acquire nutrients across
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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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X-ray spectroscopy, methane isotopes, metagenomics and transcriptomics), combined with reactive transport modelling. Your teaching load may be up to 10% of your working time. Would you like to learn
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identification of biological sounds using passive acoustic data. Passive acoustic monitoring will be conducted with species identification based on a neural network trained and tuned to the turbulent waters
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the same time, you will teach (20%) academically. Your teaching activities will take place within the programmes and courses of the Law & Markets Department. The particular teaching tasks will be decided
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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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explores the mechanochemistry of molecular machines to develop adaptive and intelligent systems 2) Our team investigates how prebiotic conditions on the late Hadean Earth may have given rise to the first
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team-based scientific research, producing publications for national and international forums, contributing to the further development of the DNPP website and helping to acquire external research funds
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Research Group Twente: The research focus of the statistics group is on the development of statistical methodology for new data applications and the theoretical analysis of machine learning methods, in