63 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at Imperial College London in United Kingdom
Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
% 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
-
. 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
-
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
-
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
-
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
-
, 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
-
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
-
of computational modelling techniques in healthcare or biomedical sciences, and in programming languages such as Python or Julia. Experience working with medical imaging in a research environment and proficiency in
-
development and programming and practical applications of machine learning in clinical data analysis will be highly desirable. The candidate will be supported in their career development PhD in cardiovascular
-
programming skills (C++, R, Python, or similar). Experience working with large or longitudinal datasets. The ability to translate complex model outputs into actionable policy insights. Curiosity, independence