36 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" uni jobs at Imperial College London
Sort by
Refine Your Search
-
mind, a collaborative work ethic and proven interest in ensuring that students have the best learning experiences in an outstanding medical school you should apply using the links provided. Applicants
-
(ECRI), you will play a vital role in delivering high‑quality learning, development and support activities that empower Imperial’s early career researchers. Working as part of a collaborative and dynamic
-
postgraduate students, as well as postdoctoral staff in robotics and robot learning applications. The staff member will be required: To enable excellence in robotics research by providing expertise in
-
support, and manage the safe operation of shared equipment areas as well as supporting tours and VIP visits. You will also onboard and induct all new clients, helping them to learn how to use state
-
, learning, research and student experience across all campuses, working with senior academic and Professional Services colleagues to optimise utilisation, planning and readiness for future growth. You will
-
diverse areas transform the world for the better To deliver our events/programme, we work with staff across all departments and Institutes within Imperial, which creates extra opportunities for learning
-
. Alongside this, you will lead and develop the People Security Policy, manage key supplier relationships, and drive continuous improvement through effective governance, data, insight and learning across
-
-supported and impactful for all participants. You will be responsible for the full lifecycle of the Career’s Service’s experiential learning schemes. These currently include Alumni Mentoring, Ask an Alum
-
of stakeholders A methodical, detail focused approach and the discretion to handle sensitive information‑focused approach and the discretion to handle sensitive information Openness to learning new
-
required by the Head of Department and Head of the School. A PhD in epidemiology, data science, biostatistics, environmental science or related field or equivalent To teach and examine courses at all levels