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international team a keen interest in translational optogenetics We offer structured PhD training within GAUSS/GGNB training within the EKFZ academy, promoting exchange between medical and natural scientists and
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Information science Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 25 Jan 2026 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status
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recruitment of personnel. We do … Where to apply Website https://www.academictransfer.com/en/jobs/357251/phd-position-computational-desi… Requirements Additional Information Website for additional job details
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Abu Dhabi seeks to recruit a postdoctoral associate to work on the development, characterization, and applications of sustainable construction materials derived from desalination waste. This exciting
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. Interested candidates may want to take a look at our recent work on machine learning molecular dynamics: https://www.nature.com/articles/s41467-024-52491-3 Project 2: Non-adiabatic Molecular Dynamics
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): Molecular dynamics (MD) and Density Functional Theory (DFT); Protein engineering; Aptamer design/optimisation; Molecular biology; Graphene. DC13: Structural engineering of bioreceptors for graphene. Engineer
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Program ‘Crime, Criminal Justice and Vulnerability Theory’. Where to apply Website https://www.academictransfer.com/en/jobs/357219/phd-candidate-in-criminal-law-o… Requirements Specific Requirements Tilburg
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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, such as AI-driven virtual cells (AIVC), while contributing to developing image-based biomarkers (digital pathology) and AI-based structural antibody design. For this task, a large data lake containing
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housed within the Department of Urban and Rural Development at the Faculty of Natural Resources and Agricultural Sciences. Through purposeful work, the department has developed a robust and dynamic