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Including Renewals: 6 months Objectives To develop and validate a hierarchical, time-dependent forecasting framework for the COVID-19 pandemic, integrating heterogeneous epidemiological and data-driven models
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Quantum Information – Lx Work Objectives: The successful candidate will contribute to the ERC LESYNCH project. The aim of the work is to apply probabilistic methods and pseudo-random techniques to obtain
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: OBJECTIVES | FUNCTIONS The candidate will integrate a research group composed of PhD and master students that work on several topics related to systems research. The candidate will be responsible for mentoring
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Renewals: 10 months Objectives • Develop homogeneous and stable polymeric coatings for membranes intended for gas permeation applications. • Incorporate Metal–Organic Frameworks (MOFs) into coating systems
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and disseminating the results obtained. 4. Objectives: To develop the experimental work necessary for the completion of the INSECTRAK project; to collaborate in the supervision of students and in
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to object and also data portability (if technically feasible), through the e-mail address: [email protected] . You also have the right to lodge a complaint with the National Data Protection Commission
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quentes do passado: Um alerta para o futuro?” funded by the Foundation for Science and Technology, under the following conditions: 1.Host and Contracting Institution: CCMAR 2.Work Plan, Tasks and Objectives
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to the definition of innovative payment schemes for ecosystem services in forests. 4. Objectives: - Modeling the supply of ecosystem services (water, carbon, forest production, biodiversity) in forest systems
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objectives. The portfolio must contain academic and/or professional work with a maximum of 5 pages. Interview Evaluation (25%) - Assessing the candidate’s motivation, professional experience and the alignment
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of the objectives of Task 1.2 – 'Nature-based technological solutions for the control of grapevine pests and diseases' of the STrenghtS4WineChaiN project, particularly work aimed at the validation and optimisation