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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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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
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to their research studies which includes participating in research projects and PhD courses. The work duties can also include teaching, science communication and other departmental duties (no more than 20%). Being a
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world. We look forward to receiving your 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