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team’s visibility through case studies and outreach and contribute to grant applications and mentor PhD and project students. In this role you will work closely with the SEISMIC Facility, the UK’s national
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activities, submit publications to reputed journals and liaise with academic collaborators and sponsors. You must have obtained or be close to obtaining a PhD in engineering, mathematics, physics, materials
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. Essential Criteria PhD qualified in relevant subject area (or pending results/near completion) Experience applying multi-modal models specifically in medical or clinical domains. Strong knowledge of MRI data
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of your profile: A PhD degree in Chemistry, or a related field. Experience in LC-MS analytics, synthesis of molecular standards (e.g. quinolones, AHLs), quorum sensing pathways Preferably experience in
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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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. 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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-ome data at bulk and single cell resolution. You will hold a PhD in Mathematics, Systems Biology or a related subject. Experience with mathematical modelling of dynamical systems using linear and non
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metastasis. The Opportunity: This post is full-time (35 hours per week). The salary for this post is £41,064 to £48,882 per annum. Your skills and attributes for success: PhD in molecular biology or cancer
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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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practice. They will also be supported to develop their career and build grant or fellowship applications. About You Candidates must have a PhD (or close to completion) or research qualification/experience