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-Nanostructure Architectures. This interdisciplinary project in electrochemistry involves the development of novel living/inorganic interfaces for energy conversion and electrocatalysis, targeting important
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 28 minutes ago
the development of the conceptual framework for risk assessment, stakeholder engagement, and the creation and maintenance of the open data repository: covering data debugging, metadata preparation, and
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Fellowships, available at https://drh.tecnico.ulisboa.pt/files/sites/45/despacho_8532_regulamento_bolsas.pdf Workplace: The work will be developed at the Membranes and Membrane Processes Laboratory of Centro de
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forming a moist microbial rhizosphere habitat. Your work will build on the process-based soil-rhizosphere-plant model, developed at the Agrosphere Institute, which integrates a 3D functional-structural
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HBIGS Heidelberg Biosciences International Graduate School | Mannheim, Baden W rttemberg | Germany | 11 days ago
experts for your personal development · Allows scientific independence and flexibility for nurturing your ideas and concepts Where to apply Website https://www.hbigs.uni-heidelberg.de/en/your-application
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Benefits: • An industrial doctoral project strongly resonating with current societal concerns • A CIFRE scheme to prepare the thesis in a professionalising framework and obtain a job quickly (https
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. You would be welcomed in the the Yant Lab (https://www.yantlab.net/ ) Using large-scale graph-based pangenomics and forward evolutionary simulations, the student will develop predictive models
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algorithms for anomaly detection and predictive maintenance of subsea structures Duration: 6 months Maximum Duration Including Renewals: 12 months Objectives Development of AI-driven models to identify
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– Operações em Copromoção – Outros Territórios MPr-2023-07. The purpose of the grant will be to implement and develop the following activities: 1) Conducting laboratory tests, organising and interpreting
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modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial Good organisational skills and ability