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Field
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: Collects information about the users and their activity on the website. The Information is used to track and analyze user behavior, to meet the individual user needs and to deliver targeted advertising
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: Collects information about the users and their activity on the website. The Information is used to track and analyze user behavior, to meet the individual user needs and to deliver targeted advertising
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qualifications required for admission to the PhD programme at the Faculty of Dentistry, University of Oslo. It is an advantage if you have experience with one or more of the following: Wear testing or tribology
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Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area
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: Collects information about the users and their activity on the website. The Information is used to track and analyze user behavior, to meet the individual user needs and to deliver targeted advertising
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computer science, bioinformatics, data engineering, or a related discipline. Have or about to obtain* a relevant PhD (*must be obtained within 3 months of interview date). Significant, relevant research experience
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their rich opportunities for culture and outdoor activities Salary in position as PhD Research Fellow, position code 1017 in salary range NOK from 550 800 - 595 000, depending on competence and experience
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, of a PhD in physics, mathematics, chemistry, computer science, engineering, or a closely related field. Strong foundational knowledge of, and research experience in, dissipative quantum dynamics
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for SOZO users. This work intersects with the Nunez Lab's expertise in clinical NLP, generative AI, and retrieval-augmented generation applied to healthcare and life sciences. RESPONSIBILITIES Reporting
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focusing optics and advanced data analysis methods. The work will include the development, implementation, and testing of experimental instrumentation; performing synchrotron experiments; developing scalable