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while accounting for dependency structures and biological knowledge? 3. To what extent does the inclusion of multi-omics and patient-derived organoid data provide added predictive value over established
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. Good communication, collaboration and social skills. Ability to respond positively to professional feedback and supervision. Structured and solution-oriented, with the ability to manage various tasks and
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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at the Department of Engineering Cybernetics, will be announced separately. Your immediate leader will be the Head of the Circuit and Radio Systems group. About the project By analyzing the energy in signals
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courses at bachelor’s, master’s, and PhD level in Arctic biology, geology, geophysics, technology, and safety. UNIS makes use of its year-round presence in the unique Arctic environment, using
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the digital transformation, the structural changes of the creative industries, the roles of communication technologies in shaping the future of work and new forms of labour and organizations, online organizing
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at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Academically relevant background within economic history. Experience working
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. Candidates will be required to take a mandatory course (5-7.5 ECTS credits) on Theories of Information and Library Science and Archival Science. The course is structured such that 5 ECTS credits are mandatory
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of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Clinical experience in medicine and/or dermatology Experience in epidemiological research or study design
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technology. The PhD candidate is expected to participate actively in this experiment, together with the project team. Second, the candidate will work with modelling greenhouse gas emissions using whole-farm