36 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at KINGS COLLEGE LONDON
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. signalling. Research experience with animal (mouse) work. Good verbal and written communication skills. Good practical and organisation skills. Computer skills (Office, information technology, bioinformatics
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you will be offered an 18 month fixed term contract. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified
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range of mental health challenges. You will work closely with an experienced research team, which includes postdoctoral researchers, PhD students, and clinical experts. About the role: This is an exciting
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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& wider impact work). Secondly, you will do qualitative research with Prof. Ben Geiger and Prof. Karen Glaser as part of CSMH’s programme on ‘Work, Welfare Reform and Mental Health’. In particular, you will
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relapsing invasive non-typhoidal Salmonella infections. About the role Antibiotic resistance poses a significant challenge to modern medicine, commonly arising when bacteria acquire mutations or new genes
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, state-of-the-art laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. About the role We are looking for a highly motivated
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& wider impact work). Secondly, you will do qualitative research with Prof. Ben Geiger and Prof. Karen Glaser as part of CSMH’s programme on ‘Work, Welfare Reform and Mental Health’. In particular, you will
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: Essential criteria PhD qualified in relevant subject area * Experience in cryo-electron microscopy/structural biology sample preparation and data collection Proficiency in Linux command line usage and cryo-EM