18 phd-position-in-data-modeling-"UCL"-"UCL" Postdoctoral positions at King's College London
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, Materials Science of related subject 2. PhD in Materials modelling, computational physics or related subject (either complete or close to completion) 3. Excellent skills in programming and data
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experience: Essential criteria PhD qualified in relevant subject area (or pending results) Experience in preclinical models of migraine or related preclinical disease modelling Experience in rodent sensory
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at an unprecedented level of resolution. By simultaneously analysing multiple data sets (MANT-ATP, methylome, transcriptome and proteome) derived from the same individual muscle fibre, this project will determine the
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developmental and 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
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leading to cardiomyopathy. This work will be performed in primary cardiomyocytes from human iPS cells, human myocardial slices from patients and humanised mouse models with the same mutations as patients
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fluorescence light microscopy, and electron cryo-microscopy (cryoEM). This position offers an exciting opportunity to contribute to cutting-edge research in biophysical modelling and analysis in a microbiology
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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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failure and accelerating the development of novel interventions. Applicants must hold a PhD in a biological sciences discipline and demonstrate substantial experience working with animal models
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STARS and HSMA STARS is an Open Science project that aims to increase the quantity and quality of computer simulation models that are open for reuse by health researchers and the NHS. The post holder will
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of the next page after you click “Apply Now”. This 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