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the UK. Activities will include: data preparation, statistical/epidemiological analysis, interpretation and dissemination. You should have post-graduate training and/or significant work experience in
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that the successful applicant will undertake a PhD within the post. Based at LSHTM, the post-holder will be embedded within the supportive and friendly Electronic Health Records Research Group and will work closely
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that the successful applicant will undertake a PhD within the post. Based at LSHTM, the post-holder will be embedded within the supportive and friendly Electronic Health Records Research Group and will work closely
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development, cognitive neuroscience and/or the implications of poverty on cognition. This is an ideal job for someone who is interested in continuing to a PhD or MD as, if justified, there will be opportunities
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proposals Qualifications and Requirements: Engineering graduate student (MS/PhD) Graduate course works in machine learning, manufacturing, data science Prior experience in performing additive manufacturing
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through appropriate statistical and qualitative methods Interpreting findings, drawing conclusions and identifying implications for practice, future development of the intervention and research Managing
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criteria A postgraduate qualification, e.g. MSc or PhD Data analysis skills in managing SPSS data base (or equivalent) and descriptive and inferential statistics Understanding of qualitative research methods
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development, cognitive neuroscience and/or the implications of poverty on cognition. This is an ideal job for someone who is interested in continuing to a PhD or MD as, if justified, there will be opportunities
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experience in bioengineering and/or physiology and at least a PhD degree in foundational basic science. Essential Functions: The applicant will be involved in: · Running a productive laboratory using