645 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Funding: You’ll have access to a £35,000 research training support grant over four years. Whether it’s for experimental work, conference travel, or the latest computing gear, we’ll make sure you have the
-
progress, initiate and implement relevant programme of research. Efficiently manage time, materials, finance and equipment. Assist with setting up equipment, ordering and organisation of resources in the lab
-
Overview The Engineering and Maintenance team provide a reactive and planned programme of works for every building within the university, working in collaboration with other university departments
-
Overview We are looking to appoint two Research Assistants to join a Wellcome Trust funded research programme in the group of Professor David Strutt, to carry out experiments to understand
-
to accomplish the engineering and project tasks required. Present data results to internal and external stakeholders at all levels in a professional and concise manner. Plan and carry out tasks and
-
-awareness needed for successful learning. Main duties and responsibilities Work with students on a one-to-one basis identifying barriers and strengths to provide a person-centred support program which
-
vision (computer sight) with machining process data (forces, vibrations) to develop an intelligent system that can accurately identify why a tool is wearing out (e.g., abrasion, fracture) and when it's
-
view to future translation to clinical practice. Work plan The project will progress in three phases, each of which are expected to lead to a published paper led by the student: Year 1. Development
-
designing against diffuse pollution. Typically, these processes are studied by laboratory experiments and/or computational fluid dynamics (CFD) approaches, often limited to an idealised patch of stems where a
-
Award at the University of Sheffield. Modern engineering relies heavily on computational models that predict how structures behave under real operating conditions. These models simulate how assets such as