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in the development and maintenance of a multi-year category plan, including the planning and execution of strategic sourcing projects for assigned spend commodities. Under the direct supervision
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-careers-upstate-new-york/ , as well as additional information at https://www.hamilton.edu/dof/faculty-development/resourcesfor-prospective-or-new-faculty/opportunities-for-spouses-or-partners
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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environmental and management factors, interacting with the FORWARDS project consortium. The activities will contribute to the development of assimilation routines and data processing to evaluate responses to both
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European integration. Its theoretical framework is grounded in social identity theories, and it will investigate how to foster the development of a stronger European identity. The research will be
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enable the development of PE-based pipes with a longer service life for use in the mining sector. Work plan: The work plan aims at the development of new PE-based pipes with high abrasion resistance. It
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of influence: The Doctoral School of Ecology and Evolution ( https://vds-ecology-evolution.univie.ac.at/ ) provides a cutting-edge scientific training for doctoral candidates in all fields of Ecology and
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providing strong mentorship. Opportunities for further personal development through training and participation in workshops, courses, seminars, and international conferences. Doctoral training is provided in
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the development of scholarly, research and administrative activities to support the department. Key attributes of the successful applicant include: A first degree and PhD in a subject area closely