49 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:" 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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programme and participate in hosting it. You will also be encouraged to make use of Imperial’s excellent resources for your professional development offered by the Postdoc and Fellows Development Centre. We
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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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: 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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. 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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% 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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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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, 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