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Stockholm University, Department of Mathematics Position ID: 2543-PHD [#27194] Position Title: Position Type: Student programs Position Location: Stockholm, Stockholm 106 91, Sweden [map ] Appl
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educational programs in Computer Science, we are now seeking a PhD student with a focus on Neuro-Symbolic Graph Transformation. The Department of Computing Science has been growing rapidly in recent years, with
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to energy systems and heating, ventilation and air-conditioning systems (HVAC) in both the residential and the industrial sector. As a PhD-student you will be part of two main research areas, comfort cooling
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Statistics at Umeå School of Business, Economics and Statistics (USBE) is looking for a PhD
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at the forefront of AI security, tackling some of the most pressing challenges in the field. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are
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collaboration with Lund University. The candidate is expected to have a strong mathematical background particularly in stochastic modeling, optimization, and reinforcement learning. As a PhD student, you devote
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application! We are looking for a PhD student in AI and autonomous systems with a focus on Vision-Language-Action (VLA) Models to control multiple heterogenous robots Your work assignments The primary focus
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. Qualifications To qualify for a PhD student position, you must have a master’s degree, or equivalent in signal processing, wireless communications, or mathematics. The research will focus on the signals in
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To qualify for a PhD student position, you must have a master’s degree, or equivalent in signal processing, wireless communications, or mathematics. The research will focus on the signals in the physical layer
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-quality educational programs in Computer Science, we are now seeking a PhD student with a focus on Neuro-Symbolic Graph Transformation. The Department of Computing Science has been growing rapidly in recent