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for improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks. Project description The vision of RAI is aiming in closing the gap from theory
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the department is available at: https://www.umu.se/en/department-of-computing-science/ Project description Graph transformation is a well-established theory that studies computational methods
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14 DCs in cutting-edge methods, theory, and transferable skills. More information may be found on the ENERPOL home page at https://cordis.europa.eu/project/id/101226229 . The part of the project
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inference, micro-econometrics, health inequalities, epidemiology, qualitative research methods such as grounded theory, and mixed-methods approaches. Elective courses on data science, public health
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control and reinforcement learning supported by an edge-cloud-based wireless communication environment. The doctoral student will work on data-driven theory and method development in simulation environments
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content A central task is to apply the project’s theoretical perspectives (sociomateriality, Actor-Network Theory (ANT), feminist technoscience, experiential ethics and care theory) in the analysis
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methods and scientific theories. Motive to pursue doctoral studies Degree project of second level of higher education Degree certificate of first and second level of higher education in the original
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to either first-principles calculations or AI supported database management of high-throughput type calculations/simulations. Basic knowledge of density functional theory (DFT) is beneficial. Strong
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and feminist theory, including experience of ethnographic fieldwork. The researcher is expected to, together with other project participants, conduct research within the project, plan and coordinate
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the Department of Information Technology website . At the Division of Systems and Control , we develop and analyze both theory and concrete tools to design systems that learn, reason, and act in