Sort by
Refine Your Search
-
Listed
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- ;
- UNIVERSITY OF SOUTHAMPTON
- King's College London
- University of Nottingham
- University of Oxford
- Queen's University Belfast
- The University of Edinburgh;
- The University of Southampton
- University College London
- University of Exeter
- University of Liverpool
- University of London
- University of Oxford;
- 4 more »
- « less
-
Field
-
collaboration with IHL and an industry partner. where you will be part of the research team to develop and demonstrate Building-to-Grid Integration through Intelligent Optimization and Predictive Control at SIT’s
-
that are relevant to industry demands while working on research projects in SIT. We are seeking a talented Power Electronics Engineer or Research Fellow to design and optimize high-frequency magnetic components and
-
screening and engineering for microbial bioprocess development; microbial physiology and adaptation for industrial applications; high-throughput screening and automation for strain optimization
-
calculations; Experience with developing, training, and optimizing neural networks or other machine learning models. For this position we are targeting a salary corresponding to Level 4 Spine Point 28 - 30
-
calculations; Experience with developing, training, and optimizing neural networks or other machine learning models. For this position we are targeting a salary corresponding to Level 4 Spine Point 28 - 30
-
accelerating their translation into impactful and industry-ready solutions. As a 5G Systems Research Engineer/Fellow, you will design, operate, and optimize the lab’s 5G infrastructure and support experimental
-
discrete optimization, demonstrated by at least one publication, is essential. Strong familiarity with stochastic optimization methodology, particularly sample average approximations and two-stage stochastic
-
This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta
-
for strain optimization; bioprospecting for novel microbial hosts, enzymes, and metabolites to support sustainable biomanufacturing. (Bio)pharmaceuticals: Processing science and technology for bio- and
-
performance and yield; spanning from optimal “device recipe” prediction to automated testing and yield assessment. The post-holder will have the ability to engage with world-leading experts across AI and