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research environment (or a higher, preferably research, degree). Experience with Active Directory and/or LDAP. Experience with parallel file systems, particularly GPFS is an advantage. Experience of using
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of FGFR1/KLB to prevent cardiac microvascular impairment and pathological remodelling in response to metabolic stress’. We are recruiting highly motivated staff with a PhD degree (or expected to receive a
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the boundaries of computational modelling and shaping the future of digital healthcare, this is the opportunity to bring your expertise to life! What you’ll need Applicants should have a PhD in
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patient cohorts, geometric deep learning, computational anatomy, cardiovascular modelling, multimodal datasets. What you’ll need Applicants should have a PhD (or nearing completion) in computational imaging
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a priori PBPK modelling for translation of oligonucleotide disposition, tissue clearance, and durability of effect”. The applicants should hold a PhD in a biomedical or pharmaceutical research area
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behavioural, physiological, and environmental acoustic variables. This post would suit someone with a PhD in biomedical engineering, data science, machine learning, experimental psychology, audiology, cognitive
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healthcare settings. The project is a collaborative effort, with three post-docs and two PhD students working together in an interdisciplinary environment to build actionable solutions to address the sector’s
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funding, and publish in internationally recognized journals. Additionally, they will supervise PhD students, manage externally funded research projects, and collaborate across the School of Health Sciences
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. The project is a collaborative effort, with post-docs and PhD students collaborating across sectors and universities in an interdisciplinary environment to build actionable solutions to address
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/SIMULINK. The research is part of a project to investigate future network performance funded by National Grid Electricity Transmission through the Network Innovation Allowance. You should have a PhD or