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weights and criteria: - Criterion 1 – Absolute merit of Curriculum Vitae (30%) - Criterion 2 – Masters average (20%) - Criterion 3 – Specific knowledge related to the work plan (15%) - Criterion 4
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work related to the activities of WP3 ("Mapping and analysis of desertification risk, its causes and impacts") of the TERRASAFE project, with the main objective of deepening the knowledge of the impacts
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relationships with students, faculty, staff, alumni, and external constituents. Knowledge of fundraising principles, methods, and standards. Expertise in developing solicitation strategies. The ability to work
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Participation in teaching activities Supervision of Bachelor's and Master's students Your Qualifications: The successful candidate must hold a completed Diploma or Master's degree in Human Medicine Knowledge
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) Knowledge and experience in the study, research, or conservation of silver objects, precious metalwork, numismatics, or other cultural heritage materials falling within the chronological and thematic scope
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 2 months ago
criteria: Curriculum Vitae (20%); Bachelor's Degree Grade (30%); Master's Degree Grade (20%); Knowledge/experience in GIS, Spatial Modelling, and InSAR (20%); Motivation Letter demonstrating compliance with
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conducting trials to evaluate essential agronomic characteristics c) Good level of knowledge on informatics and statistics; d) Proficiency in Portuguese and English, written and spoken; e) Availability to work
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Assessment criteria Candidates will be assessed on the basis of the following criteria: Technical competencies Proficient and well-developed knowledge of the Government of Canada policy cycle, including
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. Preference factors: - Relevant scientific publications in the field Minimum requirements: - Completed Master's degree in the indicated areas; - Solid knowledge in Operations Research; - Experience in planning
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domain knowledge in 4 core application domains, for which reliable AI methods are most urgently needed: medicine and healthcare, robotics & interacting systems, algorithmic decision-making, and learning