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rooms and floors (doors and stairs) • Generate structural elements (beams and columns). Workplace: The work will be developed at NOVA Laboratory for Computer Science and Informatics / Departamento de
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application of statistical Machine Learning tools. WORK PLAN Collaborate in the following tasks of the project: a) Contribute to the design and development of the Life Cycle Assessment (LCA) system; b) Support
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
. The candidate(s) may also be required to apply data fitting algorithms/machine learning algorithms to link models to biological data from the literature. The project integrates elements from dynamical systems
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virtual or augmented reality, 3d digitization and rendering, human-computer interaction and user-centered design VII.II- I – In the evaluation of the interview, candidates' performance will be assessed
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with code C19-i08 called “Smart Territories - AMA” of the Recovery and Resilience Plan (PRR) of component C19 - Public Administration - Digitalization, Interoperability and Cybersecurity, of the PRR
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: Hydrology, Water Resources, Data Science, and Computing Admission requirements: BSc or MSc degrees in one of the following areas: Civil Engineering, Computer Engineering, Environmental Engineering, Physical
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annum tax exempt (2025 rate). b) A four year Project Expense and Development package of $13,000 per annum. c) A 60 day Industry Engagement component with the industry partner. d) A structured professional
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; Verbal communication skills and fluency in Portuguese and English. Basic computer skills from a user perspective. Work plan: Participation in the ApTAsense project, including: Selection of DNA aptamers
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on the development of methodologies and techniques of Evolutionary Computation and Machine Learning. V - Initial grant duration: 3 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial
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a master's degree in Computer Science or related fields1; Be a student enrolled in a doctoral program in Computer Engineering or Computer Science or in an advanced training course - a requirement to