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, the candidate should be committed to: doing field work, wet-lab work, learning about bioinformatics, including R and shell programing, and analyzing data using population genetics tools and theories
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well as academic guidance and mentorship. The scholarship may be awarded to applicants who have just completed their undergraduate studies; or have completed a Bachelor’s degree or a Master’s programme and/or have
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industrial doctorate position is part of the Predictive Plan programme, aimed as a flagship project for changing planning and scheduling in high mix low volume (HMLV) production by leveraging hybrid AI, data
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Programme (DTP), offering one home and one overseas 3.5-year studentship covering full tuition fees and a standard UKRI stipend. For further details of how to apply, please click on the 'Apply' button above.
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communication skills in English and motivation for independent scientific work WE OFFER: Salary according to tariff agreement, extra annual payment, and company pension plan (VBL) 30 days of vacation per year
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requirements for our PhD programme . Skills in Python, C++ or ROS are preferred. How to apply Applications should be submitted via the Robotics and Autonomous Systems PhD programme page. In place of a research
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ecosystems and global environmental change. At EMBRACER we work at the very frontiers of knowledge on climate change, Earth’s climate system and climate feedbacks. Within its 10-year research programme
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. The project will link closely with the recently funded £7.4 million HEARTH programme, the National Research Hub on Net Zero, Health and Extreme Heat. The studentship requires you to undertake the equivalent
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the time of appointment. Successful candidates will be expected to pursue a competitive research program in a collegial environment and have strong communication and computing skills. A successful candidate
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strong support from your Advisory Committee. Assessment of applications for fieldwork support will be based not on the discipline, but the methodology involved; Have a Research Expenses Plan approved by