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Field
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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at NTNU and entering their final year during 2025. Such applicants will be considered for the Integrated PhD program. The position's working place is NTNU campus in Trondheim or Gjøvik. Your immediate
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or until the position is filled whichever is the soonest. Sponsor EPSRC & HR Wallingford Supervisors Prof David Werner Dr Ross Stirling Newcastle University and Bridget Woods-Ballard at HR Wallingford
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discipline Strong interest in automation of process steps (Python, LabView, or similar... Experience in one (or more) of the following areas is desirable: programming, automation, synthesis of inorganic
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Regular Job Code 9742R5 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Required Qualifications: * Ph.D. or Masters with equivalent experience in Computational
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possess translational symmetry, the role of structure and symmetry in glasses is not established. This research programme involves the development of new x-ray and electron diffraction-based methods
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machine learning are encouraged to apply. If you wish to discuss any details of the project informally, please contact Prof Suan Hui Pu, Smart Manufacturing and Systems Research Group, Email: suanhui.pu
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Prof. Michele Cucuzzella, and the candidate will be embedded at the Engineering Technology Institute of the University of Groningen (ENTEG). ENTEG research is highly multidisciplinary in nature and
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national ‘Gravitation programme’ relating to neuroimaging, is a member of the ERC Scientific Council and acts as a figurehead for Brains, Cognition and Behaviour, which is part of the Dutch National Research
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in Life Sciences or in Computational Biology • Experience in flow cytometry, cell culture and in high-dimensional single-cell data analysis and programming skills are a plus • Organizational skills and