13 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at Swansea University in United Kingdom
Sort by
Refine Your Search
-
working full-time. This post will manage the Business Development team to deliver the following functions: Manage the strategic development of SeRP / SAIL business relationships, both with existing and
-
impact that these have on multiple health and/or social outcomes. For example, a project may characterise the housing or school travel environment, and investigate the impact on injuries, mental health and
-
to make healthy lifestyle choices and/or to live better with illness and disability. More specifically, it examines the built and social environment and the impact that these have on multiple health and/or
-
examines and develops knowledge relating to wider issues, e.g. (in)equality, wellbeing, climate change, and sustainability. Swansea University’s School of Management has significant strengths in digital
-
analysis for decarbonisation technology in the steel industry. It requires proactively contributing to and conducting research, including data collection, analysis, and presenting findings. You will prepare
-
Relations, and encompasses a variety of substantive foci and research approaches. Our breadth of specialisms incorporates (i) international relations, area studies, and international development; (ii
-
them to network within a larger cohort and to see their research within an especially wide disciplinary context. The pathway also examines and develops knowledge relating to wider issues, e.g. (in
-
WGSSS training support to develop and package a suite of short on-line methods training courses, as well as create and deliver a pathway/cluster summer school (hosted on a rotating basis as a ‘signal
-
at Swansea, and may in turn help you to develop a research proposal in the area of economics and/or the social sciences. Elite and Professional Sport: Our research has impacted policy, practice and improved
-
working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling