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clearly described. Interviews will be conducted via video conferencing (e.g. MS Teams or similar) on Monday 15 December 2025. Interview support for those with disabilities will be available where required
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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@aalto.fi ). Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world , Aalto People , and Shaping a Sustainable Future . Read more about
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: · search for the ‘Course Title’ using the programme code 8100F. select ‘PhD Chemistry (full time)' as the programme of study You will then need to provide the following information in the ‘Further Details
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registered, select ‘Create a Postgraduate Application '. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field
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the programme code: 8100F · select ‘PhD Chemistry (full time)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a ‘Personal
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‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8821F Please leave the Research Area blank Select ‘PhD Physics Theoretical (full time) as the
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code:8839F select PhD Physics Experimental (Full Time) as the programme of
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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8080F Research area: Pure Mathematics select ‘PhD Mathematics (full time)’ as the programme of study You
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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8839F select ‘PhD Physics (FT) (Experimental)' as the programme of study You will then need to provide