107 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at Nature Careers in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
the NBC mission. What you will get in return: • Fantastic market leading Pension scheme • Excellent employee health and wellbeing services including an Employee Assistance Programme • Exceptional starting
-
of Dr William Schafer at the MRC Laboratory of Molecular Biology (LMB), Cambridge, to work within a programme aimed at mapping and analysing the structure of the hatchling octopus brain connectome
-
condition, please contact us so we can make all necessary accommodation. Find out more about our DEI work here https://group.springernature.com/gp/group/taking-responsibility/diversity-equity-inclusion
-
will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.
-
on the lab: https://www.pdn.cam.ac.uk/directory/ewa-paluch and https://paluchlab.uk Fixed-term: The funds for this post are available for 2 years in the first instance. To apply online for this vacancy and to
-
Postdoctoral Scientist Salary £42,694, per annum Fixed term, 2 years MRC Laboratory of Molecular Biology, Cambridge, UK Our research programme aims to understanding molecular mechanisms underlying
-
an exciting, stimulating, diverse research environment and actively promote a family friendly workplace. The Institute is also a member of Stonewall’s Diversity Champions programme. The John Innes Centre is a
-
Diversity Champions programme. The John Innes Centre is a registered charity (No. 223852) grant-aided by the Biotechnology and Biological Sciences Research Council
-
projects within the group of Dr Albert Cardona at the MRC Laboratory of Molecular Biology (LMB), as part of an overall programme aimed at studying the neural circuit basis of behaviour. Specifically, to map
-
the interface of computational biology, molecular science and translational medicine, generating large multi-omic datasets that require robust, reproducible analysis to identify rare signals with high accuracy