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control. The postdoctoral research fellowships, which begin in September 2027, are funded for two years and do not result in a degree. The program’s objective is to train researchers in the design and
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Challenge grant. The successful candidate will work closely with the Principal Investigators (PIs) to develop and implement innovative research integrating machine learning, computer vision, and wildlife
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under the project “Experimentally evolving budding yeast cell size to test scaling laws in cell biology”, with the funding support from “HFSP_RGEC28/2023”. Scientific Area(s): Cell biology and Evolution
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sources (e.g., surveillance, programmatic, and commercial testing datasets) to develop implementation plans Mixed-methods research and intervention adaptation • Conduct qualitative data collection and
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; lip-sync and audio-visual synchronization; evaluation of factuality, citability, WER, MOS and latency; software engineering, version control, containerisation or development pipelines; technical
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The successful candidate will contribute to the EU projects (with funding support from Innovate UK and UKRI), which aim to develop wireless communication optimisation algorithms for digital
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decision-making; Development of qualitative, quantitative, or mixed-method scenarios exploring future pathways for expansion of perennial agricultural features. Qualifications Required: PhD in a related
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or development pipelines; technical documentation; scientific publications or reproducible artefacts; and analytical ability, autonomy and communication in an R&D team context are particularly relevant. It is
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-to-day responsibility for overseeing the generation of rapid evidence synthesis as part of a process we have developed. The postholder will work with partners to develop protocols and to deliver a
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, and genomics), and cardiometabolic disease biology to develop precision diagnostics and identify novel therapeutic approaches, with a particular focus on coronary microvascular disease and other