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Field
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, computer science, applied mathematics, statistics, physics, engineering, or a closely related field, completed or near completion. Demonstrated expertise in generative AI, such as diffusion models, flow matching
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obtained their PhD in theoretical physics, quantum computing, applied mathematics or similar fields. Expected skills : a good grasp of classical and quantum dynamics; • a solid foundation in mathematical
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Sciences, Geodesy, Physics, Mathematics, Computer Sciences, Civil & Environmental Engineering, or a related field. PhD awarded no more than four years prior to the effective date of appointment with a
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· Ph.D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields. · PhD
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an Engineering and Physical Sciences Research Council grant. The PDRA should have (or be about to obtain) a PhD in Chemistry or Materials Science or a closely related discipline. A strong background in carbon
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existing experimental results and guide the design of future carbon-based electronic and optoelectronic devices. Requirements: Education: Master in materials science or engineering, PhD in materials science
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background in Mathematics/Applied Mathematics, particularly in research areas such as Applied Analysis/Computational Mathematics/Mathematical Modeling/Probability and Statistics, along with excellent
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-completed PhD in quantum mechanics, quantum computing, computer science, data science, operations research, applied mathematics, or a closely related field. demonstrated ability to conduct independent, high
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collaboration with experimental labs Profile Common requirements: PhD (completed or close to completion) in computer science, applied mathematics, computational neuroscience, robotics, physics or a closely
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-completed PhD in quantum mechanics, quantum computing, computer science, data science, operations research, applied mathematics, or a closely related field. demonstrated ability to conduct independent, high