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Field
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relevant PhD/DPhil (or be near completion), with established expertise in Computational Mechanics, Constitutive Modelling, and the Finite Element Method. Informal enquiries may be addressed to Prof. Laurence
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data analysis, and write scientific reports. In addition, there is scope for supporting PhD students, and collaborating with other experimental and computational neuroscientists within and outside
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opportunities to network with highly skilled AI experts, clinicians and biologists. You will also have the opportunity to co-mentor undergraduate, Masters and/or PhD students. You are further expected to publish
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well as collaborations with national and international partners. We are looking for a candidate who holds (or will soon hold) a PhD in Chemistry (or related areas in materials science and physical chemistry) whose main
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. The position gives excellent opportunities in publishing in high-quality forums. We expect the applicants to have a PhD degree (or close to completing one) in computer science, mathematics or statistics, with
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national and international conferences. Mentoring undergraduate, masters, and PhD students within the Department of Neuroimaging. Collaborating with the wider team in order to achieve the aims of the project
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techniques applicable. You should also have: A PhD degree (Research Associate) or a Master’s (Research Assistant) in computer science or a related area.* Familiarity with ICS and/or CPS. Excellent
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PhD or a PhD near completion in cell biology, bioengineering, bioscience, molecular biology or a related field. Candidates should have extensive experience of working with microfluidic chips, mammalian
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You Will have a PhD (or close to completion) in health data science, bioinformatics, computer science, computational biology, or a closely related discipline, with demonstrated experience in analysing
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hold, or be close to completion of, a PhD/DPhil in accelerator physics, particle physics or a related field and have a solid background in beam dynamics, lattice design and beam transport studies