73 post-doctoral-position-in-nanomaterials Fellowship research jobs at University of Nottingham in United Kingdom
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been sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role. Informal enquiries may be addressed to Stephen Farrall, by
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this scale is subject to performance. Closing Date: Thursday 16 May 2024 Reference: SCI116024 Post-Doctoral Research Associate/Fellow (Fixed-term) in Analytical and Synthetic Chemistry of fungal natural
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progression beyond this scale is subject to performance. Closing Date: Tuesday 21 May 2024 Reference: ENG117724 Applications are welcome for a post-doctoral researcher modelling and experimentation
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period of growth and now has over 200 members, with over 24 academics (including 9 full professors) and approximately 130 PhD students, post-doctoral research fellows and applications engineers. The group
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experienced, practiced and governed, and the socio-political conditions that influence its forms and its development. Based at the University of Nottingham, you will be one of two Post-Doctoral Researchers
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) and approximately 130 PhD students and post-doctoral research fellows. The group has excellent facilities for experimental work including approximately 2500m2 of research space and a construction and
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to fill a post-doctoral researcher position that will develop new deep learning technologies for the analysis of 3D microscopy images. A key focus will be on a world-leading laser ablation tomography
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or a closely related area is essential. The start date is flexible, but the successful candidate is generally expected to be in post by 1st October 2024. The position will be offered on a fixed-term
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hundreds of gigabytes of data per day, therefore modern AI techniques are essential if we are to efficiently keep up with this. We are looking to fill a post-doctoral researcher position which will develop
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Date: Thursday 30 May 2024 Reference: MED169124 This post has been specifically developed to deliver an innovative project to develop molecular biomarkers that can be used to identify, prognosticate