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implementing numerical optimization techniques Interest in working closely with experimentalists Detailed knowledge of quantum physics and experience with quantum technology Strong mathematical education, in
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by enabling efficient parameter calibration and uncertainty quantification, making simulations more accurate and broadly applicable in engineering contexts. The PhD project focuses on developing
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Mathematical and computational methods to design and analyse biological systems Engineering biology to address current challenges in sustainability Creating new technology for the interrogation of cells
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, statistics and engineering backgrounds who are passionate about applying their mathematical expertise to tackle complex, real-world problems. By fostering these skills, HetSys trains the next generation of
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Systems (HetSys), based at the University of Warwick, offers an exceptional opportunity for students from physical sciences, life sciences, mathematics, statistics and engineering backgrounds who
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mathematical integration, with the desired outcome being to increase the water and/or nitrogen use efficiency of Australian cropping systems. We propose to use a range of emerging data science approaches within
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at addressing a new class of outstanding PhD researchers from all over the world. Successful candidates will receive multiple doctoral degrees. Course organisation The EDLE programme is carried out with
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at the University of Warwick, offers an exceptional opportunity for students from physical sciences, life sciences, mathematics, statistics and engineering backgrounds who are passionate about applying their
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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, mathematics, statistics and engineering backgrounds who are passionate about applying their mathematical expertise to tackle complex, real-world problems. By fostering these skills, HetSys trains the next