238 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Newcastle-University" positions at KINGS COLLEGE LONDON
Sort by
Refine Your Search
-
oral and written communication skills, to convey conceptual and complex ideas and information, alongside good organisational and administrative skills. Ability to lead and function within a team and to
-
spoken and written communication skills, with competent computer use and strong interpersonal and influencing/behavioral skills. Solutions-focused self-starter, with good prioritisation and organisational
-
, guidance, best practices and GCP standards regarding the conduct of clinical trials To ensure confidentiality of commercially sensitive information To ensure data protection imperatives are respected This is
-
applying logical problem-solving to issues such as data export challenges, connectivity problems, or access permissions. Awareness of AI validation processes, safe integration practices, regulatory
-
simultaneously. Excellent communication and interpersonal skills with the ability to work collaboratively and build and maintain relationships. Ability to analyse and interpret data to make informed decisions
-
engineering. Our interdisciplinary research brings together engineers, computer scientists, physicists, and clinicians to develop cutting-edge technologies that transform healthcare. This position is part of a
-
Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
-
responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research
-
academic and clinical settings Experience with data analysis techniques Desirable criteria Evidence of working with international research groups or consortia, contributing to global perspectives on liver
-
fellowships that typically involve trials or epidemiology using big data. There are excellent opportunities to develop, lead and apply novel methods and approaches, in response to complexities in data