76 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "P" positions at Imperial College London
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at speed to ensure efficacy and compliance of food fortification programs in low- and middle-income countries (LMICs). The successful applicant will lead the electronic and digital engineering of the eLFA
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: Software systems and device level programming and service computing Software development in distributed environments Building secure and reliable applications Development of object-oriented programming
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% of their time undertaking a special programme of training offered by our training partner. The actual working times/days will be agreed according to Staff Compliance business needs. The role is fully aligned
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well as supporting student-led groups to plan budgets effectively. The role sits within the Directorate of Membership Services and the post will have a cross-departmental focus to ensure our training package
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. Ability to work collaboratively, plan experiments, troubleshoot assays, undertake data analysis, and use safe laboratory working practices. Desirable experience for this role includes one or more of the
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specialty areas and designed for individuals with the potential to become leaders in academic medicine with a commitment to conducting research at Imperial College London. Research To develop, plan and carry
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a closely related field, or equivalent. A strong research record with publications of outstanding quality. A clear plan to build or further develop an internationally leading research programme that
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partners, food organisations and diverse end-users in a wide-ranging and ambitious programme of work that provides a clear pipeline from fundamental research to commercialisation. The overarching vision
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evidence services including the development of a programme of health and information literacy training; evidence search services, current awareness and knowledge mobilisation services. They will use user
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, biomechanics, or airflow/fluid dynamics Knowledge and hands-on experience with computational modelling techniques in healthcare or biomedical sciences, and proficiency in programming languages such as Python