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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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international conferences and to collaborate with other academic and industrial partners. The ideal candidate holds a Master’s degree in Robotics, Control Theory, Mechanical Engineering, or Applied Mathematics. A
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contribution to addressing the major societal challenges of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 16 days ago
are looking for, please apply by filling in this form: https://forms.gle/Exoy7iw4U8cYLL9C6 The position is funded by the First Team FENG programme under the Foundation for Polish Science (FNP), project number
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engineering, or in a closely related discipline; a strong and proven affinity with experimental techniques and mathematical modeling; fundamental understanding of fluid mechanics and soft matter physics; good
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/engineering degree in artificial intelligence/computer science/applied mathematics; demonstrated abilities in research or problem solving tasks (public challenges, coding competitions, published research, et
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Trinity College Dublin, School of Mathematics Position ID: 1697 -PHD [#26720] Position Title: Position Type: Academic admissions Position Location: Dublin, Dublin D02 PN40, Ireland [map ] Subject
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Honours degree (or equivalent) in an appropriate discipline such as Computer Science or Mathematics. Applicants are expected to have excellent mathematical skills as well as an interest in discrete
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). Candidates who are considered to be in conflict with the criteria in the latter act, will not be assessed. You must have an academically relevant background within computer science, applied mathematics
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience