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-careers-upstate-new-york/ , as well as additional information at https://www.hamilton.edu/dof/faculty-development/resources-for-prospective-or-new-faculty/opportunities-for-spouses-or-partners
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at https://apply.interfolio.com/181843 . Questions regarding the search may be directed to Hannah Lau, Search Committee Chair, at hxlau@hamilton.edu. Our review of applications will begin on March 15, 2026
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- THE ROLE - The role of the Principal Systems Development Officer (Systems) in the University's Software Development Department involves the expert design, development, and management of robust
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims at the development of a numerical model for the simulation
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims at developing physically consistent digital twins and immersive
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Environmental Health in French West Indies: Research Chair in Modelling, Clinical or Population-Base
biodiversity and the risky island environment that surrounds it make it a force for development in its territories and in the world. Host Laboratory: IRSET (https://www.irset.org/en), the Research Institute
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research project entails the development and application of inverse-design
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advanced pedagogical models in comparable high-tech sectors and conduct a skills-gap assessment within the Phortify network. Based on this, flexible teaching formats will be studied, developed and piloted
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”. In the research programme, we will combine advanced direct nanofabrication methodologies with techniques for characterising static and dynamic magnetic properties, with the ultimate goal of developing
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.). Machine control system signals and dedicated sensors shall be used for data acquisition. The developed models shall enable the identification of significant deviations between model forecasts and field data