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Research Infrastructure? No Offer Description Applications are open for 1 Scientific Initiation Studentship, for a master's student, within the scope of ACIM - Communication, Image and Marketing Unit
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for developing machine learning models for the automatic identification of species from images collected through electronic monitoring systems (Work Package 3 – Bycatch Monitoring). The candidate will be involved
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CFD model of the proposed design, 3. Create a prototype and validate the CFD results, and 4. Optimize the solution initially developed, considering the requirements associated with maintenance and
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; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Identify state-of-the-art Vision-Language Models for image captioning; - Benchmark the models in occlusion scenarios; - Cooperate in writing
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
the recording of dendritic electrical signals using electrophysiological and imaging techniques. The fellow will be involved in setting the protocol for imaging voltage signals in dendrites of pyramidal
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
, financed by national funds through FCT/MCTES Workplan: To develop counterfactual generation frameworks based on diffusion and latent diffusion models in the context of medical imaging. Additionally
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environmental factors to these paradigm; - Address cell migration in vitro and in vivo; - Data analysis, reporting and presentation. Legislation and Applicable Regulation: Estatuto do Bolseiro de Investigação
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carried out at the School of Arts of Universidade Católica Portuguesa and guided by the team identified for the implementation of the work plan. Candidates must have a Master in Sound and Image, Multimedia
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that will enable the optimization of SQL queries.; 2. Development of the optimizer: implementation of a prototype capable of generating optimized SQL queries with persistent memory.; 3. Integration and
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop