96 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"LGEF" positions at Imperial College London in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
This role is part of the Julia Anderson Training Programme which provides individuals who are at the early stage of their career with hands-on experience working on projects or activities
-
secure new business. You will ensure accurate data entry and recording of booking information and quotes with the ability to effectively communicate requirements to all contributing Teams. You will ensure
-
We are seeking to appoint two Clinical Research Fellows, who will be involved in a major research project in digital health, technological innovation, patient safety or disease mechanisms directed
-
payments, and addressing risks relating to health & safety, quality, programme, and commercial matters. You will be responsible for contribution to gateway reviews, coordinating with Teams on operational
-
of Brain Sciences, Imperial College London and City St. George’s, University of London. This is an exciting opportunity to join our new research programme to establish the effect of treatment with a ‘PDE5
-
This role is part of the Julia Anderson Training Programme which provides individuals who are at the early stage of their career with hands-on experience working on projects or activities
-
The Julia Anderson Training Programme provides individuals at an early stage of their career with hands-on experience working on projects or activities at the Institute of Global Health Innovation
-
; and O4) evaluating NeSyDebates’ methods/systems in practice, in legal settings for LLMs and for online safety for T2Is. To achieve the objectives, NeSyDebates will develop and deploy novel forms
-
research programme within the Department of Chemistry in one or more of the following fields: medicinal chemistry, novel molecular therapeutic modalities, chemical biology, AI-enabled therapeutic discovery
-
and experimental validation. This will include applying and extending deep-learning approaches such as RFDiffusion and ProteinMPNN, developing in-house computational workflows, and carrying out