321 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at KINGS COLLEGE LONDON
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, clinical, imaging, and general population data in a multidisciplinary research environment. The postholder will work under the supervision of PI Prof Mitul Mehta (KCL) and Co-I Amir Englund (KCL), and also
-
databases , external portals and information retrieval from the internet. High level of numeracy, double entry and accounting principles Excellent communication and organisational skills with ability to lead
-
team dedicated to advancing data-driven approaches to historical, linguistic, and cultural research. This post is part of the 5-year project Computational Corpus Annotation for Quantitative Analysis
-
outcomes, with recruitment and data collection taking place across multiple NHS sites. Based in a local recruiting department, you will be involved in participant screening, recruitment, consent, patient
-
analyse and visualise the resulting patterns to uncover fundamental principles of neural circuit organization and function. This work bridges computational neuroscience, systems biology, and data
-
quantitative information, in a clear and actionable way Develop and maintain expertise in research and evaluation methodologies Work with academics and practitioners to test and trial new approaches to widening
-
Facility. The successful candidate will have in-depth knowledge and hands-on experience in genomics, including sample preparation, instrument operation for sample handling and automated data acquisition. In
-
, using functional near infrared spectroscopy (fNIRS) and eye tracking technologies, alongside the collection of neurobehavioural data. The trial collects repeated measures across infancy, culminating in a
-
attitude, with an ability to supervise and monitor staff with tact and diplomacy Excellent telephone/videoconferencing manner, letter, report and writing skills, ability to persuade and deliver information
-
(APMU) required timelines, the interpretation of analytical mass spectrometric data for anabolic steroids and the technical operation of the GC-MS and GC-C-IRMS instruments (troubleshooting and planned