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applications is open for a Research Grant (BI) within the scope of the project “‘VIMOS – Virtual Integrated Market Online Shopping’, with SIID topology - Business R&D - Co-promotion - Low Density, project number
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, of August 28th, and also the provisions of article 9 of the Scientific Research Grant Regulations of the University of Aveiro. 6. Work plan: Develop and validate a new library of photo-responsive “clickable
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
will likely affect the quality of produced charged beams. The student will perform simulations for various plasma densities, and study the interplay between two mechanisms: DLA and LWFA which can
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planetary boundaries (a set of at least nine parameters that indicate how far the ES is from its optimal functioning state during the Holocene (about 12,000 years ago). This model is inspired by Matrix Models
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 4 days ago
enrolled in a Master or Integrated Master degree, with the aim of consolidating their scientific training through the development of research work leading to the achievement of the MSc degree integrated in a
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third countries c) Stateless persons d) Beneficiaries of political refugee status When the work plan takes place, in whole or in part, in foreign institutions, only candidates who can prove permanent and
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to provide the supporting documents by the grant contracting stage. 3. Preferential Factors Proven experience with decision support systems based on knowledge bases and machine learning. 4. Work Plan The work
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) Portuguese nationals or nationals of other EU Member States b) Nationals of third countries c) Stateless persons d) Beneficiaries of political refugee status When the work plan takes place, in whole or in part
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Master) as part of the project ‘Interdisciplinary Centre for Social Sciences – University of Évora branch’, reference UID/04647/2025, funded by national funds from the Foundation for Science and Technology
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requirements: Experience using deep-learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating on scientific projects. Publications on deep-learning topics. 4. Work Plan