119 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions at King's College London
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
brings together researchers working at the intersection of technology and society. This role sits within Dr Petr Slovak's research group, which focuses on human-computer interaction and digital mental
-
the world. Our ambitious Education Strategy sets out the actions that we must take to transform how we teach, how and where our students learn and how we support them during their time with us. The Student
-
-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and
-
to learn and work to SOPs and demonstrate a commitment to quality culture 5. Strong planning and organisational skills including the ability to prioritise, manage multiple tasks and projects, with
-
to write technical and non-technical papers including survey reports as required 8. Excellent computer skills using Microsoft Office particularly Microsoft Excel Desirable criteria 1. NEBOSH 2
-
engagement, thought leadership and knowledge transfer. Our Executive Education portfolio is central to our mission to empower leaders and organisations through transformative learning. About the role Senior
-
community across the university. The position offers broad exposure to research governance and ethics activities, with significant scope for learning and professional development. The post holder will act as
-
(Projects) within the Early Career Researcher Institute, you will play a vital role in delivering high‑quality learning, development and support activities that empower Imperial’s early career researchers
-
standards 8. Strong computer skills (proficient with MS Word, Excel and Web-based applications) Desirable criteria 1. Experience in clinical trial administration and/or in the delivery of clinical
-
. You will work as part of a team including clinicians, imaging scientists, engineers and computer scientists, engaged with the treatment of cardiac arrhythmias, as well as engaging closely with