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will also take courses at the doctoral level, participate in international conferences, and have the opportunity to develop your networks across various academic disciplines and with stakeholders
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-scale neural network models. While the developed methods will be broadly applicable, particular emphasis will be put on the problem of inferring gas dynamics in urban environments. Gas dynamics shape air
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the physical layer but can also cover aspects of the media access control and network layers. The research is expected to use methodology from signal processing, communication theory, mathematics, wave
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but can also cover aspects of the media access control and network layers. The research is expected to use methodology from signal processing, communication theory, mathematics, wave propagation
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, a survey, ethnographic approaches, network and scenario analyses. The team also collaborates with major stakeholders to identify strategies to address polarisation towards a sustainable transition in
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aspects in biomedical research. A very good ability to communicate in English, both in written and oral form, is required. We are seeking a talented, ambitious, and highly motivated student who functions
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description This project is part of the EU-funded “Print4Life” Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader at Uppsala University. This network has 8 doctoral candidate host
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About the EU MCSA DN project StraDiVarious StraDiVarious (Strains, Diagnostics and Variants) (www.stradivarious.eu) is a European-wide intersectoral doctoral training network focused on emerging
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/himself informed on developments of the relevant research field, have excellent communication and organizational skills, and the ability to work productively and dynamically in a team. Previous experience
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skills, and have an excellent ability to communicate in English, both orally and in writing. Furthermore, you should be able to work independently, be goal-oriented, and have strong problem-solving skills