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the Department of Integrated Studies in Education (https://www.mcgill.ca/dise/ ), the Department of Kinesiology and Physical Education (https://www.mcgill.ca/edu-kpe/ ), and the Department of Educational and
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focus on quality control of digital mapping products using imagery and other available spatial datasets with ArcGIS. Duties will require recognition of vegetation patterns, including familiarity with
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, while orchestrating enhancements to existing applications Engineer robust data intake frameworks utilizing advanced form-building systems and API integrations Design and execute comprehensive data
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25th. The presentation of recognition is mandatory for the signing of the contract. Website for additional job details https://concursos.ipb.pt/ui/#/public/concursos/detalhe/934 Work Location(s) Number
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candidate qualifications, compensation may exceed this range, provided it aligns with applicable law and our compensation policies. Additional information about our compensation scales is available at: https
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Presentations, Fall (Enrollment) Fest, Workshops/Camps, Ag Literacy Week, Awards and Recognition Night, and other Extension Association activities as assigned. Consult and utilize target audiences/stakeholders
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coordination role. Demonstrated capacity to work effectively with and to negotiate sensitively with students, especially on issues related to effective learning. Emerging track record and recognition for quality
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | about 1 month ago
an appropriate profile for the activities to be carried out. Candidates holding qualifications obtained abroad must provide proof of recognition, equivalence, or registration of the degree, under the applicable
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get access to design and operational data from key industry partners in the HYDROGENi and MarTrans research projects. The applicant must present a one-pager (literature references excluded) of his/her
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acoustics. • Experience in End-to-End AI/ML production systems from inception to deployment. • Experience in one or more areas such as machine learning, pattern recognition, data mining, and