50 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions at KINGS COLLEGE LONDON
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for candidates to have the following skills and experience: Essential criteria BSc in Physics, Materials Science of related subject PhD in Materials modelling, computational physics or related subject (either
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of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and
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amenable to therapeutic targeting. This position will involve the application of advanced data science approaches to explore large-scale clinical datasets extracted from electronic health records, with
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document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are
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in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area (or pending results) Experience in preclinical models
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27 Sep 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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the PI — to interrogate ALS pathogenesis at an unprecedented level of resolution. By simultaneously analysing multiple data sets (MANT-ATP, methylome, transcriptome and proteome) derived from the same
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experimental assessments across the UK. The successful applicant will oversee data collection, management and analysis, and lead the dissemination of findings to academic and lay audiences. You will work closely
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the Centre for Research Staff Development for more information. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD
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oversee data collection, management and analysis, and lead the dissemination of findings to academic and lay audiences. You will work closely with families, NHS Trusts and charity partners, and contribute