181 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"IFM" positions at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
that all students acquire the core research skills necessary to undertake a doctoral project, the structure and duration of the WRDTP’s awards depend on the applicant’s previous academic experience, and any
-
, and Horizon Europe; working with the AMRC Composites Centre Head of Research / Innovation, analyse reasons for unsuccessful applications to ensure continuous learning. Accountability for the delivery
-
their role. A commitment to your development access to learning and mentoring schemes; integrated with our Academic Career Pathways. A range of generous family-friendly policies paid time off for parenting and
-
for unsuccessful applications to ensure continuous learning. Accountability for the delivery of KPIs and deliverables assigned to the group, required to fulfil the High Value Manufacturing Catapult (HVMC) grant
-
Reinforcement Learning from Human and AI Feedback (S3.5-COM-Peng)
-
and the US), fostering a truly interdisciplinary environment. We are a collaborative team where learning and helping each other is central. Applicants must hold a PhD or be close to completion (or have
-
of the art 20,000m² Diamond Building, you’ll be inspired by what we can offer our Engineering students. We have world leading facilities in teaching and learning, with 15 specialist laboratories designed
-
of the Patients as Educators programme. Contribute to the strategic planning and delivery of further developments in clinical skills teaching, learning and assessment. Prioritise own daily work
-
on trainee assignments. Essential Application/ interview Ability to ensure that all trainees are actively engaged in the learning process. Essential Application/ interview Ability to construct and utilise a
-
). Originally designed to make video games look realistic, GPUs have evolved into powerful engines for scientific computing. Unlike traditional computer processors, which handle one task at a time, GPUs can carry