21 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"Universitat-de-Barcelona" positions at University of Birmingham
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or otherwise) • Lead in translating the developed code into shareable (user-friendly) code for use by students in the Lehman or de Boer groups in the first instance, and then by a wider scientific community via
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high degree of proficiency • Ability to code at the level of implementing complex proof-of-concept compilers and interpreter prototypes • Familiarity with mainstream proof assistant is not required
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for the running of individual clinical trials to ensure that the research complies with current legislation. Initiate and oversee the design, coding and testing of the research databases. Set up clinical sites, and
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data and operation of complex data base and information systems in order to code and abstract medical data and routine data entry. Record and code incoming forms etc, checking for inconsistencies
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requirements • Excellent knowledge of anatomy, histology, embryology and neuroanatomy. • Good understanding of HTA regulations and codes of practice. • Ability to design, deliver, assess and revise teaching
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. Proficiency in scripting skills is essential (such as BASH, Python, Perl). Experience of using source code version control such as git is essential. Ability to build and maintain relationships in a professional
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/ Regulatory Body regulations/Codes of Practice across the academic cycle. This includes supporting quality audits, preparing reports and delivering remedial action plans. Working closely with key members
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adhere to all Health/Food Safety Codes of Practice and Control of Substances Hazardous to Health (COSHH) regulations at all times. Assist with the transportation of commodities and equipment from one
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. Ability to learn and understand how diversity considerations can affect own area (e.g. different dress code). Good communication skills. Co-operative, helpful, flexible attitude. Ability to undertake
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into impactful applications in global health. We welcome applicants with training in statistics, applied mathematics, computer science, or epidemiology, especially those with strong quantitative and coding skills