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Field
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application! Do you have a background in machine learning and interested in telecommunications? You have a chance to contribute to development of sensing methods for new distributed MIMO systems. Your work
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, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ . Project
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, to achieve spatial understanding and cross-modal representation learning from heterogeneous sensor data, with the research not limited to these methods. This research will support semantic interpretation
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biomass fraction. The tasks include: DES design; DES preparation – The DES will be prepared by the most conventional heating and stirring method. The selected compounds are weighted and mixed in the right
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and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ . Project
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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workplace You will be employed in either the Division of Cyber Security (CYBER) or the Division of Artificial Intelligence and Integrated Computer Systems (AIICS) at the Department of Computer and Information
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working hands-on with a wide range of individuals. Equally, they should be comfortable with statistical analysis of data. The research will focus on creating consumer-centred testing methods, exploring how
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if you have any of the following: Prior experience with inverse modeling or parameter estimation. Experience in microscopy or microfluidic lab environments. Experience with open-source codes
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related to human-computer interaction and software engineering. Your competencies Applicants should have a strong interest in human-robot interaction and the role of emerging technologies in healthcare