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mathematics and engineering. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state
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University is known worldwide for its high academic quality and societal impact. The Department of Electronic Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all
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verification. runtime analysis and reconfiguration of in-vehicle TSN networks. Co-supervise MSc and PhD students. Optionally contribute to teaching and proposal preparation. Required qualifications: As a formal
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, analyzing the data on dynamics in individual behaviors. Successful applicants must have a PhD in computer science, digital technology, mathematics, or related fields with demonstrated experience in developing
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meets the following requirements: Your experience and profile: PhD in mathematics, with thesis submitted before the start of the Postdoctoral position. Publications in some subareas of analysis
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Neuroscientist, Clinical Psychologist, Medical Doctor, and Neurologist. The successful applicant should have a PhD in Cognitive Neuroscience, Cognitive Psychology, Experimental Psychology, Neuropsychology, or a
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visas. Person Specification Essential Criteria: Qualifications A good first degree in Statistics, Mathematics, Computer Science, or a related subject. A PhD (or be close to submission) in Statistics
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Engineering, Computer Science, Applied Mathematics, or related fields Strong background in control systems, machine learning, and scientific computing Programming proficiency and experience with simulation
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meetings For further information, please contact Assoc. Prof. Carole Linster (email address: ). Your profile PhD degree in molecular biology, cell biology, biochemistry, genetics, or another similar life
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission