Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other
-
curriculum development skills to join our world-renowned and intellectually vibrant organisation. You'll have the chance to shape high-impact postgraduate programmes that support the development
-
the opportunity to develop processes and collaborate with key colleagues to support students throughout their time at Cambridge. Our Tutorial Administrators (this post is one of four) manage day to day
-
most roles • Generous University pension scheme. • A commitment to personal development including LinkedIn learning. • Family-friendly policies (including enhanced parental leave & childcare benefits
-
to cancer biology, as well as a strong commitment of developing and using new tools to address cutting-edge questions in these fields. This studentship is embedded within the piRNA team, consisting of both
-
both sites. The project sits at the interface of cell line engineering, protein science and machine learning and you will receive advanced training in these areas while developing methods to accelerate
-
) at the University of Cambridge. This role is part of a new and exciting initiative to develop the UK SKA Regional Centre, (UKSRC: www.uksrc.org ) for the Square Kilometre Array Observatory (SKAO: www.skao.int
-
savings and discounts • Cycle to Work scheme • Training and development opportunities • Free parking may be available subject to capacity • Access to University Card with subsidised travel on U
-
savings and discounts • Cycle to Work scheme • Training and development opportunities • Free parking may be available subject to capacity • Access to University Card with subsidised travel on U
-
holder will work on a project to develop a 3D in vitro model of the gastrointestinal tract. Physiologically relevant, multi-cellular models of gut are necessary to accurately model disease. We propose