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- NTNU - Norwegian University of Science and Technology
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need, this may be prepared from published field operation data, laboratory measurement or other sources. Machine learning can be used to select the bet data set for each particular cases covering
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sciences Economic and Administrative sciences Maritime sciences Social sciences and Humanities. The Faculty is also responsible for PhD programmes in computer technology, innovation and regional development
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to: Work independently to accomplish tasks on time Work in poor weather conditions for an extended period Have a high level of motivation and a strong interest in learning new skills Have a valid driver’s
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”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
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into how users choose between CPIs when faced with diversity, learn in light ofconsidering criticism, and ultimately, why and how some CPIs become authoritative while others are marginalized
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Norwegian University of Science and Technology (NTNU) for general criteria for the position. Personal characteristics Ability to work independently and in a team Drive to learn new methods and applications
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multidisciplinary and teacher education and professionalism is explored by multiple methodologies and by comparative analysis. The target group of the PhD programme in Educational Sciences is dedicated individuals
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the conditions for the occurrence of amplitude modulation at the receiver will be investigated. The PhD project should also permit to evaluate the limits of established engineering methods like ISO 9613-2
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foundation for theory-guided catalyst design e. g. by machine learning approaches. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within
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, Amsterdam and Freiburg, will analyse the impact of blockades on households, states, corporations and the international order; on the development of political and military strategy; on how the wars were