Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
About the Role The WHRI has a strong and growing group working in translational genomics within the Centre of Clinical Pharmacology and Precision Medicine (https://www.qmul.ac.uk/whri/research-centres/centre-for-clinical-pharmacology-and-precision-medicine/ ). This post is part of a...
-
multidisciplinary teams will address interconnected research themes including Omics Science; MedTech and Devices and Therapeutic Innovation - transcending the existing boundaries between disciplines. These themes
-
maintain accurate and up to date records. In addition, the applicants should have high level of proficiency with computer software related to laboratory research, data presentation and statistical evaluation
-
. This role will be aligned with the Endpoint Systems and Support Team – whose responsibilities cover supporting and managing end user devices such as laptops, tablets and mobile phones and the Mobile
-
nanomaterial-nucleic acid hybrids for optimal device bio- and gas sensing, as well as for optoelectronic applications. About You The candidate will have experience in materials science research and ideally DNA
-
to maintain a high level of attention to detail and work in an efficient and organised manner. Computer literacy, accurate data entry skills, and a science related degree, HND/HNC or similar are essential
-
, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, strong quantitative skills
-
Information Unit (BIU) to support all RVC users and ensure the consistent delivery of high-quality IT services. Your responsibilities will include supporting PCs, laptops, and Mac devices running the latest
-
chemical list updated, providing training in standard research techniques, and taking care of the Seed Technology Platform devices (climate chambers) and other equipment. Teamwork and willingness to interact
-
and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying