609 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Uk
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extinction of learned fear and avoidance’. This multi-disciplinary project will combine in vivo heart rate monitoring and optogenetics with behavioural testing in rats to (1) characterise the relationship
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research progress through formal and informal reports and communications. Undertake additional duties as reasonably requested by project leaders, commensurate with the role. Essential Criteria A PhD (or near
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design, delivery, and evaluation of a multi-school research study investigating the impact of mathematical storytelling on secondary students’ mathematics learning and related outcomes. Working closely
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, Computational Astrophysics, Early Universe or Gravitational Physics will be an advantage. The post-holder will have the opportunity to teach. Only applications received before midday Friday 27 November 2025 can
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of career. Experience in using qualitative data analysis computer software such as NVivo would be an advantage. Skills 13. Demonstrable ability to plan and manage research, both independently and as part of a
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rapidly expanding Early Career Researcher community, who offer peer support alongside a broader university programme of professional development activities for research staff. The department resides in a
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dynamics and (at intermediate redshifts) strong gravitational lensing, thus preserving and extending the team’s lead in this field. Applicants should have a PhD (or close to completion) in (Astro) physics
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institutions in the programme grant and with supporting industrial partners. About you You should possess a university PhD degree in mechanical engineering or a similar discipline, preferably with experience
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weighting The Department of Computer Science seeks to employ a postdoctoral researcher to work on a new project in the area of LLMs/multi-agent systems, under the direction of PI Professor Michael Wooldridge
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no.: 4331 Among the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as