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the supervision of Assistant Professor Seyed Ehsan Saffari. The duration of this position is 1 year with the possibility of a 1-year extension The main responsibilities of the successful candidate will include but
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Are you interested in X-ray imaging and biomineralization and in contributing to an international interdisciplinary Human Frontier Science Program funded project on skeletal adaptations in
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for the position of research assistant professor with a significant outreach component. Expectations of the position will be to develop an externally supported research program in agroforestry and contribute
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for international researchers and accompanying families, including assistance with relocation and career counselling to expat partners. Please find more information about the International Staff Office and the range
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including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. On site nursery is available and children’s clubs in the summer holidays
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Professor Zoe Trodd (Zoe.Trodd@nottingham.ac.uk ) if you have further questions about this role. Please note that applications sent directly to this email address will not be accepted. To help you succeed, we
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Are you interested in X-ray imaging and biomineralization and in contributing to an international interdisciplinary Human Frontier Science Program funded project on skeletal adaptations in
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: · MATLAB · Python · ROS · Computer vision and/or YOLO · Pytorch and/or Tensor Flow · LiDAR · GIS · GNSS receivers Minimum Qualifications: Doctoral degree in Mechanical Engineering, Electrical Engineering, or
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
Location: West Cambridge, Cambridgeshire A position exists, for a Research Assistant/Associate in Photonics Integration of Graphene and Related Materials. The aim is to develop a new class of
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subdivisions of the squamate body plan. The candidate will work towards developing computational resources that assist in the data management and analysis of genomic data and its integration with phenotypic data