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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 8 hours ago
conditions: Scientific area: Bachelor’s Degree in Systems Engineering. Work plan: Model-based digital twins supported by physics-informed machine learning for multiphysics modeling. 1. Grant duration and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 9 days ago
1801P.01158.1.04 and (1801P.01460.1.04) LARSYS/ISR BASE 2025-2029 - SIPG LAB/ISR, financed by national funds through FCT/MCTES Workplan: To develop machine learning approaches to behavior analysis in
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 10 hours ago
the most significant microscopic parameters for the homogenized response Develop and train machine learning models to estimate the homogenized properties from such parameters Document research findings
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Computer Science, Computer Science and Engineering or related area. Additional optional skills and qualifications: Proven track record in ontology alignment, machine learning with biomedical data, and knowledge
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related fields. Additional optional skills and qualifications: Experience in deep learning for medical imaging. Contracting requirements: Presentation of the academic qualifications and/or diplomas
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 10 days ago
learning models for antimicrobial activity prediction (e.g., Weka); - Strong communication skills; - Fluency in English (written and spoken). The candidate must demonstrate interest in microbiology and
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, corresponding to pre-, intra-, and post-operative phases of brain surgery. The work includes data pre-processing, implementation and training of deep learning methods, and evaluation of the results. Legislation
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and qualifications: Experience in deep learning for remote sensing. Contracting requirements: Presentation of the academic qualifications and/or diplomas, if applicable. Enrolment in Master's degree in
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 15 days ago
networks or similar machine learning technologies applied to DNA; Preferential: Experience with transcription factor motif discovery; Proficiency in high-throughput sequence alignment methods; Candidates who
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for Responsible AI – Refª C628696807-00454142 funded by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds Application submission from 26-Feb to 12-March