Sort by
Refine Your Search
-
to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions
-
an awareness of University structures, policies and procedures and relevant issues in the higher education, research, social and political environment Knowledge, Skills and Experience Experience of working
-
and their researcher development involves: mentoring, annual research planning discussions, pooled research funding to support career development and research activities, peer review support for
-
for the advancement of gender equality. We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a Disability Confident employer and
-
development and research activities, peer review support for the development of research and innovation funding applications. As an UKRI-FLF funded role, the successful applicant may be eligible
-
will play an active role in advancing and evolving this technology to expand its capabilities, with a primary focus on developing ligands and tool compounds targeting therapeutically relevant proteins
-
expertise and international recognition in this area. This includes the development of Electrical Capacitance Tomography (ECT) techniques to measure the internal combustion and regression of a hybrid
-
meetings, workshops, and scientific conferences. Prepare and edit scientific publications and contribute to knowledge dissemination. Engage in outreach activities, including the Edinburgh Science Festival
-
networks). Recognition Awards to reward staff who go above and beyond in their role. A commitment to your development access to learning and mentoring schemes; integrated with our Academic Career Pathways A
-
in a more accurate analysis of optimizing the service performance. Computer vision approaches such as ones for object identification and action recognition can help to automatically identify deviations