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) Estimation of regional water and energy requirements e) Analysis of variable trends and patterns f) Projection of climate change and irrigation technology evolution scenarios The work will be carried out in
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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issues such as privacy, security, and bias in digital health systems. You will adopt a mixed-methods approach, combining qualitative and participatory methods to map the needs of healthcare professionals
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both methods by applying the formula defined above in IV.7. V.2.4. The notification of the draft’s final decision to the candidates, which contains the list with the proposed ordering of the successful
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should have the competencies of R3 category. Required qualification/skills/experience: - PhD degree in Electrical and Electronic Engineering or a related discipline (e.g., Telecommunications, Computer
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knowledge (for example, list of scientific works). If it is difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be
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both methods by applying the formula defined above in IV.7. V.2.4. The notification of the draft’s final decision to the candidates, which contains the list with the proposed ordering of the successful
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both methods by applying the formula defined above in IV.7. V.2.4. The notification of the draft’s final decision to the candidates, which contains the list with the proposed ordering of the successful
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both methods by applying the formula defined above in IV.7. V.2.4. The notification of the draft’s final decision to the candidates, which contains the list with the proposed ordering of the successful
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the past 2 years [4]. The current industrial standard photovoltaic (PV) module design with difficulty in recycling has generated worldwide concerns regarding an estimated stream of 212 million tons of end