50 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" "UNIS" positions at Umeå University
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between these duties varies over time. During the employments three initial years, the employee is offered 30% of full time for competence development, which may be used for own research and other
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: Research or development connected to infection biology, immunology or epidemiology Advanced integration of multiple layers of molecular data sets Programming knowledge in R and/or other programming languages
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into how algorithmic systems influence the circulation of information and disinformation across digital platforms, and how such processes affect perceptions of credibility, truth, and democratic
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the department form a diverse group with different nationalities, backgrounds, and fields. If you work as a doctoral student with us you will receive the benefits of support in career development, networking
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and empirically oriented, focusing on how political ideas, actors, and conflicts are shaped and mediated through digital platforms. Central themes may include, for example, algorithmic influence
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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nationalities, backgrounds and fields. As a postdoctoral researcher, you receive benefits in career development, networking, administrative and technical support functions, along with good employment conditions
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Humanities. Humlab’s mission is to initiate, inspire, and develop the interaction between the humanities, culture and information technology. Humlab’s premises are located in two buildings on campus: one in
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Arts, Umeå Institute of Design, the Department of Creative Studies or the Department of Culture and Media Studies. Have an interest in developing your knowledge and skills in the area of practice-based
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, resources must be used more efficiently than they are today. The combination of large-scale historical data and AI offers new opportunities to achieve this. The aim of this project is to develop data-driven