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both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates
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. At the Division of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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ability to connect theory with experimental data, are strong assets. Your workplace As a PhD student at the Division of Vehicular Systems, you will become part of an international research environment with
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18 Apr 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Electrical Engineering Research Field Computer science Engineering Mathematics
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22 Apr 2026 Job Information Organisation/Company Swedish University of Agricultural Sciences Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Application Deadline 15
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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision
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qualifications: Experience with genomic or transcriptomic data analysis, especially of plant species Basic understanding of genomics, evolution or population genetics theory Evidence of technical skills and
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healthcare, in most cases, there is only access to information at the patient level, about the patient’s health status and disease development. In this project, we will develop theory, algorithms and methods
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. At the Division of Systems and Control , we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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vision), and the division of statistics and machine learning at the department of computer and information science (focusing on the theory behind machine learning). The employment When taking up the post