92 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" positions at Nature Careers in United Kingdom
Sort by
Refine Your Search
-
through a comprehensive animal care and use programme, providing high-quality laboratory animal resources, technical expertise, and in-vivo/ex-vivo research support. Within the BRF, the In Vivo Imaging (IVI
-
program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. The successful candidate will exploit advanced
-
collaborate with other departments and institutes on the campus including the Department of Oncology, Kennedy Institute (immunology), the Jenner Institute (vaccines), the Big Data Institute (computational
-
health and the economy. The Biological Research Facility supports all animal research at the Crick through our comprehensive animal care and use programme. The Biological Research Facility provides
-
. Perks: Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interactions. Career support: A Post-doc to PI programme and other
-
researchers to develop and plan genome engineering projects when required, harnessing the newest and most efficient approaches. You will be responsible for managing a budget of c. £250k per year, to generate 30
-
the molecular to cellular scale. We are looking to appoint an individual who has strengths in both experimental and in advanced computational methods in Cryo-EM. The post-holder will work in collaboration with
-
Job Summary: Responsible for leading and managing an independent research group within the Generative Biology Institute (“GBI”), delivering a program of bold, ambitious and transformational research
-
, stable isotope labelling techniques, and novel method development. Data analysis and computational work (35%). Effective use of data analysis software to process and analyse MS data, including statistical
-
of cortical neurons. We aim to understand how connections between different neuronal cell types are organized and how this organization enables the computations they perform. To do this, we combine approaches